NVIDIA Nemotron Nano V2 VL
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Abstract (arXiv)
We introduce Nemotron Nano V2 VL, the latest model of the Nemotron vision-language series designed for strong real-world document understanding, long video comprehension, and reasoning tasks. Nemotron Nano V2 VL delivers significant improvements over our previous model, Llama-3.1-Nemotron-Nano-VL-8B, across all vision and text domains through major enhancements in model architecture, datasets, and training recipes. Nemotron Nano V2 VL builds on Nemotron Nano V2, a hybrid Mamba-Transformer LLM, and innovative token reduction techniques to achieve higher inference throughput in long document and video scenarios. We are releasing model checkpoints in BF16, FP8, and FP4 formats and sharing large parts of our datasets, recipes and training code.
Key facts. Cited by 17 papers in the map (data through 14 Oct 2026). Builds on 124 of its 153 references that are in the map. First posted on arXiv 6 Nov 2025.
Builds on
124 of 153 references.
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Citing papers per year: 2025: 2; 2026: 15.
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- 2025TimeViper: A Hybrid Mamba-Transformer Vision-Language Model for Efficient Long Video Understanding20 Nov 2025
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- 2026GeoSym127K: Scalable Symbolically-verifiable Synthesis for Multimodal Geometric Reasoningcited by 1
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- 2026Beyond RGB: Benchmarking and Enhancing MLLMs for Hyperspectral Image Understanding via Training-Free Reasoning Frameworkcited by 0
- 2026MindTopo: Can Foundation Models Reason in Topological Space?cited by 0
- 2026MindTopo: Can Foundation Models Reason in Topological Space?10 Sep 2026
- 2026Multi-Legal-Bench: Evaluating LLMs on Legal Reasoning Across Jurisdictions, Languages, and Legal Traditions28 May 2026
- 2026MAVEN: A Multi-stage Agentic Annotation Pipeline for Video Reasoning Tasks21 May 2026
- 2026GeoSym127K: Scalable Symbolically-verifiable Synthesis for Multimodal Geometric Reasoning10 May 2026
- 2026Beyond RGB: Benchmarking and Enhancing MLLMs for Hyperspectral Image Understanding via Training-Free Reasoning Framework10 Apr 2026
- 2025A Benchmark for Omni-Modal Reasoning in Long Videos18 Dec 2025
- 2026MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Modelscited by 7
- 2025TimeViper: A Hybrid Mamba-Transformer Vision-Language Model for Efficient Long Video Understandingcited by 4
- 2026DataComp-VLM: Improved Open Datasets for Vision-Language Modelscited by 2
- 2026True (VIS) Lies: Analyzing How Generative AI Recognizes Intentionality, Rhetoric, and Misleadingness in Visualization Liescited by 0
- 2026Jagle: Building a Large-Scale Japanese Multimodal Post-Training Dataset for Vision-Language Modelscited by 0
- 2026DataComp-VLM: Improved Open Datasets for Vision-Language Models26 Jun 2026
- 2026MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models14 May 2026
- 2026Jagle: Building a Large-Scale Japanese Multimodal Post-Training Dataset for Vision-Language Models2 Apr 2026
- 2026True (VIS) Lies: Analyzing How Generative AI Recognizes Intentionality, Rhetoric, and Misleadingness in Visualization Lies1 Apr 2026
- 2025TimeViper: A Hybrid Mamba-Transformer Vision-Language Model for Efficient Long Video Understanding20 Nov 2025
- 2026Advancing WordArt-Oriented Scene Text Recognition: Datasets and Methodscited by 2
- 2026RealDocBench: A Benchmark for Field-Level QA and Layout Understanding on Real-World Regulated Documentscited by 0
- 2026AMALIA-VL: A Native European Portuguese Open-Source Vision and Language Modelcited by 0
- 2026Trustworthy Image Authentication using Forensic Knowledge Graphscited by 0
- 2026Advancing WordArt-Oriented Scene Text Recognition: Datasets and Methods23 Jun 2026
- 2026Trustworthy Image Authentication using Forensic Knowledge Graphs22 Jun 2026
- 2026AMALIA-VL: A Native European Portuguese Open-Source Vision and Language Model17 Jun 2026
- 2026RealDocBench: A Benchmark for Field-Level QA and Layout Understanding on Real-World Regulated Documents5 Jun 2026
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