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Title: GitHub - Supercomputing-System-AI-Lab/MiLo: Code repo for efficient quantized MoE inference with mixture of low-rank compensators · GitHub

Open Graph Title: GitHub - Supercomputing-System-AI-Lab/MiLo: Code repo for efficient quantized MoE inference with mixture of low-rank compensators

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Description: Code repo for efficient quantized MoE inference with mixture of low-rank compensators - Supercomputing-System-AI-Lab/MiLo

Open Graph Description: Code repo for efficient quantized MoE inference with mixture of low-rank compensators - Supercomputing-System-AI-Lab/MiLo

X Description: Code repo for efficient quantized MoE inference with mixture of low-rank compensators - Supercomputing-System-AI-Lab/MiLo

Opengraph URL: https://github.com/Supercomputing-System-AI-Lab/MiLo

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Supercomputing-System-AI-Lab	https://github.com/Supercomputing-System-AI-Lab
MiLo	https://github.com/Supercomputing-System-AI-Lab/MiLo
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Readme	https://github.com/Supercomputing-System-AI-Lab/MiLo#readme-ov-file
MIT license	https://github.com/Supercomputing-System-AI-Lab/MiLo#MIT-1-ov-file
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	https://github.com/Supercomputing-System-AI-Lab/MiLo/commits/main/
MiLo	https://github.com/Supercomputing-System-AI-Lab/MiLo/tree/main/MiLo
MiLo	https://github.com/Supercomputing-System-AI-Lab/MiLo/tree/main/MiLo
evaluation	https://github.com/Supercomputing-System-AI-Lab/MiLo/tree/main/evaluation
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MiLo_compress_DeepSeek.py	https://github.com/Supercomputing-System-AI-Lab/MiLo/blob/main/MiLo_compress_DeepSeek.py
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conda_env_setup.sh	https://github.com/Supercomputing-System-AI-Lab/MiLo/blob/main/conda_env_setup.sh
conda_env_setup.sh	https://github.com/Supercomputing-System-AI-Lab/MiLo/blob/main/conda_env_setup.sh
kernel_setup.sh	https://github.com/Supercomputing-System-AI-Lab/MiLo/blob/main/kernel_setup.sh
kernel_setup.sh	https://github.com/Supercomputing-System-AI-Lab/MiLo/blob/main/kernel_setup.sh
requirements.txt	https://github.com/Supercomputing-System-AI-Lab/MiLo/blob/main/requirements.txt
requirements.txt	https://github.com/Supercomputing-System-AI-Lab/MiLo/blob/main/requirements.txt
README	https://github.com/Supercomputing-System-AI-Lab/MiLo
MIT license	https://github.com/Supercomputing-System-AI-Lab/MiLo
	https://github.com/Supercomputing-System-AI-Lab/MiLo#milo
MiLo: Efficient Quantized MoE Inference with Mixture of Low-Rank Compensators	https://arxiv.org/abs/2504.02658
	https://github.com/Supercomputing-System-AI-Lab/MiLo#features
	https://github.com/Supercomputing-System-AI-Lab/MiLo#installation-of-python-packages
	https://github.com/Supercomputing-System-AI-Lab/MiLo#installation-of-kernel
	https://github.com/Supercomputing-System-AI-Lab/MiLo#quick-start
	https://github.com/Supercomputing-System-AI-Lab/MiLo#examples
MiLo_compress_DeepSeek.py	https://github.com/Supercomputing-System-AI-Lab/MiLo/blob/main/MiLo_compress_DeepSeek.py
MiLo_compress_Mixtral.py	https://github.com/Supercomputing-System-AI-Lab/MiLo/blob/main/MiLo_compress_Mixtral.py
MiLo_eval.py	https://github.com/Supercomputing-System-AI-Lab/MiLo/blob/main/MiLo_eval.py
	https://github.com/Supercomputing-System-AI-Lab/MiLo#license
	https://github.com/Supercomputing-System-AI-Lab/MiLo#citation
	https://github.com/Supercomputing-System-AI-Lab/MiLo#acknowledgments
HQQ	https://github.com/mobiusml/hqq
Marlin	https://github.com/IST-DASLab/marlin
Readme	https://github.com/Supercomputing-System-AI-Lab/MiLo#readme-ov-file
MIT license	https://github.com/Supercomputing-System-AI-Lab/MiLo#MIT-1-ov-file
Activity	https://github.com/Supercomputing-System-AI-Lab/MiLo/activity
0 forks	https://github.com/Supercomputing-System-AI-Lab/MiLo/forks
Report repository	https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2FSupercomputing-System-AI-Lab%2FMiLo&report=Supercomputing-System-AI-Lab+%28user%29
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