<ul><li>NVIDIA has launched Hymba-1.5B-Base, a small-scale language model that combines transformer attention mechanisms with state space models (SSMs).</li><li>The hybrid architecture aims to improve efficiency in natural language processing tasks.</li><li>Hymba-1.5B-Base outperforms other small language models, demonstrating higher accuracy, reduced cache size, and increased throughput.</li><li>NVIDIA acknowledges that the model may reflect societal biases and generate toxic responses, urging users to employ the model responsibly.</li></ul>

NVIDIA Launches Hymba, its New Hybrid Architecture for Small LLMs

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