UNITES Lab
University of North Carolina, AI Trustworthiness, Efficiency, and for Science Group
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- MoE-RBench Public
[ICML 2024] Code for the paper "MoE-RBench: Towards Building Reliable Language Models with Sparse Mixture-of-Experts"
UNITES-Lab/MoE-RBench’s past year of commit activity - moe-quantization Public
Official code for the paper "Examining Post-Training Quantization for Mixture-of-Experts: A Benchmark"
UNITES-Lab/moe-quantization’s past year of commit activity - Lingual-SMoE Public
[ICLR 2024] Code for the paper "Sparse MoE with Language-Guided Routing for Multilingual Machine Translation"
UNITES-Lab/Lingual-SMoE’s past year of commit activity
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