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News/model/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-NVFP4

Nemotron-3-Nano-Omni-30B-A3B-Reasoning-NVFP4 news

14 articles mentioning Nemotron-3-Nano-Omni-30B-A3B-Reasoning-NVFP4

huggingface1d ago

Nemotron 3.5 Content Safety: Customizable Multimodal Safety for Global Enterprise AI

huggingface1d ago

How to Fine-Tune Nemotron 3.5 ASR for Your Language, Domain, or Accent

huggingface1d ago

Task-Seeded Synthetic Q&A Generation for Nemotron Pretraining

huggingfaceMay 23

Towards Speed-of-Light Text Generation with Nemotron-Labs Diffusion Language Models

arxivMay 13

Nemotron 3 Nano Omni: Efficient and Open Multimodal Intelligence

arXiv:2604.24954v2 Announce Type: replace-cross Abstract: We introduce Nemotron 3 Nano Omni, the latest model in the Nemotron multimodal series and the first to natively support audio inputs alongside text, images, and video. Nemotron 3 Nano Omni delivers consistent accuracy improvements over its pr

huggingfaceApr 28

Introducing NVIDIA Nemotron 3 Nano Omni: Long-Context Multimodal Intelligence for Documents, Audio and Video Agents

arxivApr 24

Accelerating PayPal's Commerce Agent with Speculative Decoding: An Empirical Study on EAGLE3 with Fine-Tuned Nemotron Models

arXiv:2604.19767v1 Announce Type: new Abstract: We evaluate speculative decoding with EAGLE3 as an inference-time optimization for PayPal's Commerce Agent, powered by a fine-tuned llama3.1-nemotron-nano-8B-v1 model. Building on prior work (NEMO-4-PAYPAL) that reduced latency and cost through domain-

arxivApr 16

Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning

arXiv:2604.12374v1 Announce Type: cross Abstract: We describe the pre-training, post-training, and quantization of Nemotron 3 Super, a 120 billion (active 12 billion) parameter hybrid Mamba-Attention Mixture-of-Experts model. Nemotron 3 Super is the first model in the Nemotron 3 family to 1) be pre-

arxivMar 30

Nemotron-Cascade: Scaling Cascaded Reinforcement Learning for General-Purpose Reasoning Models

arXiv:2512.13607v2 Announce Type: replace-cross Abstract: Building general-purpose reasoning models with reinforcement learning (RL) entails substantial cross-domain heterogeneity, including large variation in inference-time response lengths and verification latency. Such variability complicates the

huggingfaceDec 17

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

huggingfaceOct 13

Nemotron-Personas-India: Synthesized Data for Sovereign AI

huggingfaceSep 26

Nemotron-Personas-Japan: ソブリン AI のための合成データセット

huggingfaceAug 4

Measuring Open-Source Llama Nemotron Models on DeepResearch Bench

huggingfaceJun 27

Welcome the NVIDIA Llama Nemotron Nano VLM to Hugging Face Hub

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