AI RESEARCH
LLM Compression with Jointly Optimizing Architectural and Quantization choices
arXiv CS.AI
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ArXi:2606.04063v1 Announce Type: cross Deploying large language models (LLMs) is challenging due to their significant memory and computational requirements. While some methods address this by developing small or tiny language models from scratch, these approaches demand extensive