MobileLLM from Meta is full of great lessons!
The paper focuses on methods for an efficient architecture for mobile LLMs
It includes using SwiGLu, Deeper/thinner architect, reducing Kv-heads for grouped query attention, and sharing weights between multiple transformer blocks
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases - https://arxiv.org/abs/2402.14905
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