This is a 12 billion parameter vision-language variant of NVIDIA's Nemotron-Nano-2 model, provided in NVFP4 quantized format for efficient inference. It supports multimodal inputs including images and text, and includes capabilities for tool calling and reasoning. The model is distributed on Hugging Face for use by developers building vision-language applications on NVIDIA infrastructure.
NVIDIA Nemotron Nano 12B V2 VL NVFP4 QAD sits in PulseGate's Multimodal & vision category. It focuses on deploying efficient multimodal models with vision and language capabilities on NVIDIA hardware. NVIDIA Nemotron Nano 12B V2 VL NVFP4 QAD is an open-source project aimed at developers and enterprises using NVIDIA platforms. NVIDIA Nemotron Nano 12B V2 VL NVFP4 QAD is open source under the Apache-2.0 license. NVIDIA Nemotron Nano 12B V2 VL NVFP4 QAD is available on the web, the command line, and API.
It is developed by NVIDIA (United States), and it first shipped in 2024. The project is developed in the open on GitHub with 3.3k stars and 355 commits in the last 90 days. PulseGate's similarity index places it among 6 comparable projects. Among its 3 catalogued features are vision-language understanding, quantized inference, and tool use.
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