
Try out the model ๐: https://nvda.ws/4lNtzBU In this video, we explore the benchmarks and capabilities of NVIDIA's newly released small language model, Nemotron Nano 2. We compare its performance to a comparable model, Qwen-2.5-3B, highlighting its superior speed and accuracy. You'll learn about its hybrid architecture combining Mamba and Transformer elements, the training process it underwent, and its ability to handle both reasoning and non-reasoning tasks efficiently. Additionally, we explore its tool usage and the flexibility of controlling the model's thinking process. You'll also find practical demonstrations and insights into its open-source dataset. Join us for an in-depth examination of this groundbreaking model and see how you can leverage it on various hardware platforms. Technical report; https://research.nvidia.com/labs/adlr/files/NVIDIA-Nemotron-Nano-2-Technical-Report.pdf
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