Nemotron Nano 12B 2 VL (free)

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.

ChatNVIDIA128k tokensGratis

nvidia/nemotron-nano-12b-v2-vl:free

Contexto
128k tokens
Máx. completion
128,000
Tools
Sí
JSON
No
Lanzamiento
2025-10-28

Llámalo desde Geek Hub

El mismo SDK de OpenAI. Cambia el base URL y el id del modelo.

curl https://api.geekhub.mx/v1/chat/completions \
  -H "Authorization: Bearer $GEEKHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nvidia/nemotron-nano-12b-v2-vl:free",
    "messages": [{"role": "user", "content": "Hola"}]
  }'
Consigue tu API key

Preguntas frecuentes

¿Qué es Nemotron Nano 12B 2 VL (free)?
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. Nemotron Nano 12B 2 VL (free) corre en el API de Geek Hub (compatible con OpenAI). Id: nvidia/nemotron-nano-12b-v2-vl:free.
¿Nemotron Nano 12B 2 VL (free) es gratis?
Sí. El precio listado es cero: no se cobran tokens de prompt ni de completion. Los endpoints gratis tienen rate limit.
¿Cuál es el contexto de Nemotron Nano 12B 2 VL (free)?
Nemotron Nano 12B 2 VL (free) tiene una ventana de 128k tokens. Soporta hasta 128,000 tokens de completion.
¿Nemotron Nano 12B 2 VL (free) soporta tool calling y structured outputs?
Nemotron Nano 12B 2 VL (free) acepta tools y tool_choice para function calling. No lista structured outputs en este endpoint.
¿Cuándo se lanzó Nemotron Nano 12B 2 VL (free)?
Nemotron Nano 12B 2 VL (free) se lanzó el 28 de octubre de 2025.

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