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Large Language Model Papers·2026
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FreeToken: Efficient Edge-Native MoE Serving with Bandwidth-Adaptive Execution

Shuo Yang, Xiaoze Fan +9

Enables interactive serving of large Mixture-of-Experts (MoE) models on personal machines by adapting offload and execution to measured device bandwidth and agentic workload patterns. Key features include bandwidth-adaptive execution, semantic-aware caching of recurrent state, and an elastic GPU expert cache; supports 20+ MoE models and runs models from ~35B to 753B on consumer/workstation GPUs.

#ai-serving#ai-inference#ai-deploy#mLOps#coding-agents+3
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