New Strategies for Efficient Execution of Large Language Models on Consumer Hardware
In recent years, the widespread adoption of Large Language Models (LLMs) has created a need for efficient ways to run these models on consumer hardware. One promising approach involves using sparse mixture-of-experts (MoE) architectures, which allow for faster token generation compared to