Summary of The Impact Of Quantization and Pruning on Deep Reinforcement Learning Models, by Heng Lu et al.
The Impact of Quantization and Pruning on Deep Reinforcement Learning Modelsby Heng Lu, Mehdi Alemi,…
Summary of Qet: Enhancing Quantized Llm Parameters and Kv Cache Compression Through Element Substitution and Residual Clustering, by Yanshu Wang et al.
QET: Enhancing Quantized LLM Parameters and KV cache Compression through Element Substitution and Residual Clusteringby…
Summary of How Does Quantization Affect Multilingual Llms?, by Kelly Marchisio et al.
How Does Quantization Affect Multilingual LLMs?by Kelly Marchisio, Saurabh Dash, Hongyu Chen, Dennis Aumiller, Ahmet…
Summary of Gptqt: Quantize Large Language Models Twice to Push the Efficiency, by Yipin Guo et al.
GPTQT: Quantize Large Language Models Twice to Push the Efficiencyby Yipin Guo, Yilin Lang, Qinyuan…
Summary of Sfc: Achieve Accurate Fast Convolution Under Low-precision Arithmetic, by Liulu He et al.
SFC: Achieve Accurate Fast Convolution under Low-precision Arithmeticby Liulu He, Yufei Zhao, Rui Gao, Yuan…
Summary of Qsync: Quantization-minimized Synchronous Distributed Training Across Hybrid Devices, by Juntao Zhao et al.
QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devicesby Juntao Zhao, Borui Wan, Yanghua Peng, Haibin…
Summary of Joint Pruning and Channel-wise Mixed-precision Quantization For Efficient Deep Neural Networks, by Beatrice Alessandra Motetti et al.
Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networksby Beatrice Alessandra Motetti, Matteo…
Summary of Llmeasyquant — An Easy to Use Toolkit For Llm Quantization, by Dong Liu et al.
LLMEasyQuant – An Easy to Use Toolkit for LLM Quantizationby Dong Liu, Kaiser PisterFirst submitted…
Summary of Reliable Edge Machine Learning Hardware For Scientific Applications, by Tommaso Baldi (1 and 2) et al.
Reliable edge machine learning hardware for scientific applicationsby Tommaso Baldi, Javier Campos, Ben Hawks, Jennifer…
Summary of Fedaq: Communication-efficient Federated Edge Learning Via Joint Uplink and Downlink Adaptive Quantization, by Linping Qu et al.
FedAQ: Communication-Efficient Federated Edge Learning via Joint Uplink and Downlink Adaptive Quantizationby Linping Qu, Shenghui…