MobileMoE introduces on-device MoE LLMs that match dense models with 2-4x fewer FLOPs and provide efficient smartphone inference.
Mobilellm-r1: Exploring the limits of sub-billion language model reasoners with open training recipes.arXiv preprint arXiv:2509.24945, 2025
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MobileMoE: Scaling On-Device Mixture of Experts
MobileMoE introduces on-device MoE LLMs that match dense models with 2-4x fewer FLOPs and provide efficient smartphone inference.