<ul><li>NVIDIA has introduced Hymba, a new family of small language models featuring a hybrid architecture that combines Mamba and Attention heads running in parallel.</li><li>Hymba models integrate transformer attention mechanisms with SSMs to enhance efficiency, allowing attention heads and SSM heads to process input data in parallel.</li><li>The Hymba-1.5B model combines Mamba and attention heads running in parallel with meta tokens to reduce the computational load of transformers without compromising memory recall.</li><li>Hymba outperforms other models in terms of efficiency and performance, making it suitable for deployment on smaller, less capable hardware.</li></ul>

NVIDIA Introduces Hymba 1.5B: A Hybrid Small Language Model Outperforming Llama 3.2 and SmolLM v2

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