A user on r/LocalLLaMA has developed a method to improve the performance of Mixture-of-Experts (MoE) models that do not entirely fit into VRAM. By offloading only the "hot" experts to the GPU instead of entire layers, a 50% performance increase was observed for the Qwen 3.8 Flash Next model, boosting tokens per second from 20 to 30. This technique is particularly useful when the full model exceeds VRAM capacity and has shown promise in coding-related workloads, though it has only been tested in that specific context. AI
IMPACT This technique could enable users with less VRAM to run larger MoE models more efficiently.
RANK_REASON User-developed optimization for running large models on limited hardware.
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