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cs.LG2025
FASP: Fast and Accurate Structured Pruning of Large Language Models
Hanyu Hu, Pengxiang Zhao, Ping Li +3
The rapid increase in the size of large language models (LLMs) has significantly escalated their computational and memory demands, posing challenges for efficient deployment, espec…
cs.LG2025
GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models
Pengxiang Zhao, Xiaoming Yuan
Large Language Models (LLMs) face significant deployment challenges due to their substantial resource requirements. While low-bit quantized weights can reduce memory usage and impr…