Nemotron-4 340B, also called Nemotron-One, is a family of open-source, instruction-tuned large language models developed by Together AI. With sizes ranging from 1.3B to 340B parameters, Nemotron models are designed for state-of-the-art performance in natural language generation, reasoning, and instruction-following tasks — and are fully available for research and commercial use.
🔍 What It Does:
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🧠 Instruction-Tuned Text Generation – Produces detailed, coherent responses to questions and prompts
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🗂️ Available in Multiple Sizes – From lightweight (1.3B) to powerful (340B), usable for different hardware needs
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🔄 Fine-Tune Ready – Built for downstream tuning or use out-of-the-box
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⚡ Optimized for Speed & Quality – High training efficiency with strong performance across benchmarks
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🧪 Supports RAG & Agentic Workflows – Great for combining with retrieval, APIs, or plugins
💡 What Makes It Unique:
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🔓 Fully Open-Source and Commercially Usable – No restrictive licenses; use it in your business today
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🧰 Backed by Together AI Infrastructure – Easily deploy through Together’s inference and training platforms
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📊 Highly Competitive on MMLU, HellaSwag, TruthfulQA – On par with top closed models in many benchmarks
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🌐 Built for Researchers & Developers – Supports both academic exploration and real-world deployment
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📈 Great for Scaling – Choose the model size that fits your compute, from 1B to 340B parameters
💰 How People Can Make Money with Nemotron:
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💼 Develop LLM-Powered SaaS Apps – Chatbots, writing assistants, support bots, etc.
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📦 Fine-Tune and Sell Custom AI Agents – Domain-specific models for law, finance, health, etc.
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🧠 Consulting for Open-Source AI Adoption – Help businesses avoid OpenAI costs using Nemotron instead
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🔗 Build APIs or Plugins – Serve models via APIs for niche functions like summarization or tutoring
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📊 Enterprise Use Without Vendor Lock-in – Self-host or run via Together’s cloud with scalable pricing