LangMart: NVIDIA: Nemotron Nano 12B 2 VL

Model Overview

Description

NVIDIA Nemotron Nano 2 VL is a 12-billion-parameter open multimodal reasoning model designed for video understanding and document intelligence. It introduces a hybrid Transformer-Mamba architecture, combining transformer-level accuracy with Mamba’s memory-efficient sequence modeling for significantly higher throughput and lower latency.

The model supports inputs of text and multi-image documents, producing natural-language outputs. It is trained on high-quality NVIDIA-curated synthetic datasets optimized for optical-character recognition, chart reasoning, and multimodal comprehension.

Nemotron Nano 2 VL achieves leading results on OCRBench v2 and scores ≈ 74 average across MMMU, MathVista, AI2D, OCRBench, OCR-Reasoning, ChartQA, DocVQA, and Video-MME—surpassing prior open VL baselines. With Efficient Video Sampling (EVS), it handles long-form videos while reducing inference cost.

Open-weights, training data, and fine-tuning recipes are released under a permissive NVIDIA open license, with deployment supported across NeMo, NIM, and major inference runtimes.

Description

LangMart: NVIDIA: Nemotron Nano 12B 2 VL is a language model provided by nvidia. This model offers advanced capabilities for natural language processing tasks.

Provider

nvidia

Specifications

Pricing

Capabilities

• Frequency penalty
• Include reasoning
• Max tokens
• Min p
• Presence penalty
• Reasoning
• Repetition penalty
• Response format
• Seed
• Stop
• Temperature
• Top k
• Top p