2024 Poster "post-training quantization" Papers
8 papers found
Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs
Yeonhong Park, Jake Hyun, SangLyul Cho et al.
ICML 2024poster
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
Wei Huang, Yangdong Liu, Haotong Qin et al.
ICML 2024posterarXiv:2402.04291
Evaluating Quantized Large Language Models
Shiyao Li, Xuefei Ning, Luning Wang et al.
ICML 2024posterarXiv:2402.18158
FrameQuant: Flexible Low-Bit Quantization for Transformers
Harshavardhan Adepu, Zhanpeng Zeng, Li Zhang et al.
ICML 2024posterarXiv:2403.06082
LQER: Low-Rank Quantization Error Reconstruction for LLMs
Cheng Zhang, Jianyi Cheng, George Constantinides et al.
ICML 2024posterarXiv:2402.02446
Outlier-aware Slicing for Post-Training Quantization in Vision Transformer
Yuexiao Ma, Huixia Li, Xiawu Zheng et al.
ICML 2024poster
QuIP$\#$: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks
Albert Tseng, Jerry Chee, Qingyao Sun et al.
ICML 2024posterarXiv:2402.04396
SqueezeLLM: Dense-and-Sparse Quantization
Sehoon Kim, Coleman Hooper, Amir Gholaminejad et al.
ICML 2024posterarXiv:2306.07629