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Combining LLMs with techniques like SLERP, TIES, DARE, and MoE boosts capabilities without excessive computational burden. Uploading merged models to the Hugging Face Hub demonstrates the efficiency of this approach.
Latency, especially in the context of Large Language Models LLMs), plays a crucial role in determining their practical utility, especially in real-time applications where responsiveness is paramount.