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cs.LG2025
Step-3 is Large yet Affordable: Model-system Co-design for Cost-effective Decoding
StepFun, :, Bin Wang +195
Large language models (LLMs) face low hardware efficiency during decoding, especially for long-context reasoning tasks. This paper introduces Step-3, a 321B-parameter VLM with hard…
cs.LG2023★ 2 cited
SmoothQuant+: Accurate and Efficient 4-bit Post-Training WeightQuantization for LLM
Jiayi Pan, Chengcan Wang, Kaifu Zheng +3
Large language models (LLMs) have shown remarkable capabilities in various tasks. However their huge model size and the consequent demand for computational and memory resources als…