The Mamba in the Llama: Accelerating Inference with Speculative Decoding

" data-medium-file="https://www.marktechpost.com/wp-content/uploads/2024/09/Screenshot-2024-09-02-at-7.57.08-AM-300x206.png" data-large-file="https://www.marktechpost.com/wp-content/uploads/2024/09/Screenshot-2024-09-02-at-7.57.08-AM-1024x704.png" tabindex="0" role="button"> " data-medium-file="https://www.marktechpost.com/wp-content/uploads/2024/09/Screenshot-2024-09-02-at-7.57.08-AM-300x206.png" data-large-file="https://www.marktechpost.com/wp-content/uploads/2024/09/Screenshot-2024-09-02-at-7.57.08-AM-1024x704.png" tabindex="0" role="button">Large Language Models (LLMs) have revolutionized natural language processing but face significant challenges in handling very long sequences. The primary issue stems from the Transformer architecture’s quadratic complexity relative to sequence length and its substantial key-value (KV) cache requirements. These limitations severely impact the models’ efficiency, particularly during inference, making them prohibitively slow for generating […]

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