2025
ClusComp: A Simple Paradigm for Model Compression and Efficient Finetuning
ACL 2025finding
As large language models (LLMs) scale, model compression is crucial for edge deployment and accessibility. Weight-only quantization reduces model size but suffers from performance degradation at lower bit widths. Moreover, standard finetuning is incompatible with quantized models, and alternative me…