<ul><li>NVIDIA has released Llama Nemotron Nano 4B, an open-source reasoning model optimized for edge AI and scientific tasks.</li><li>The model, with 4 billion parameters, offers higher accuracy and up to 50% greater throughput compared to models with 8 billion parameters, as per internal benchmarks.</li><li>Nemotron Nano 4B is designed for inference efficiency in compact models, catering to hybrid reasoning and instruction-following tasks outside conventional cloud environments.</li><li>The model excels in single-turn and multi-turn reasoning tasks, provides higher throughput, and supports context windows up to 128,000 tokens, suitable for various complex workloads.</li></ul>

NVIDIA Releases Llama Nemotron Nano 4B: An Efficient Open Reasoning Model Optimized for Edge AI and Scientific Tasks

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