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NVIDIA releases Nemotron 3 and 4 open-source LLMs with hybrid architecture

By PulseAugur Editorial · Summary by gemini-2.5-flash-lite from 3 sources

NVIDIA has released its Nemotron 3 and Nemotron 4 series of open-source large language models, ranging in size from 30 billion to 500 billion parameters. These models utilize a hybrid Mamba-Transformer architecture and are built using NVIDIA's synthetic data generation techniques, making them particularly effective for tasks involving synthetic data. The Nemotron 3 Nano model has been evaluated using Hugging Face's NeMo Evaluator as part of an open evaluation standard. AI

Summary written by gemini-2.5-flash-lite from 3 sources. How we write summaries →

RANK_REASON Release of open-source LLM models from NVIDIA, with details on architecture and evaluation.

Read on Hugging Face Blog →

NVIDIA releases Nemotron 3 and 4 open-source LLMs with hybrid architecture

COVERAGE [3]

  1. Hugging Face Blog TIER_1 ·

    The Open Evaluation Standard: Benchmarking NVIDIA Nemotron 3 Nano with NeMo Evaluator

  2. Smol AINews TIER_1 ·

    NVIDIA Nemotron 3: hybrid Mamba-Transformer completely open source models from 30B to 500B

    **NVIDIA** has released **Nemotron 3 Nano**, a fully open-source hybrid Mamba-Transformer Mixture-of-Experts (MoE) model with a **30B parameter size** and a **1 million token context window**. It includes open weights, training recipes, datasets, and an RL environment suite calle…

  3. Smol AINews TIER_1 ·

    Nemotron-4-340B: NVIDIA's new large open models, built on syndata, great for syndata

    **NVIDIA** has scaled up its **Nemotron-4** model from **15B** to a massive **340B** dense model, trained on **9T tokens**, achieving performance comparable to **GPT-4**. The model alignment process uses over **98% synthetic data**, with only about **20K human-annotated samples**…

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