arxiv
PublishedJune 2, 2026 at 4:00 AM
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ProjQ: Project-and-Quantize for Adapter-Aware LLM Compression
Publisher summary· verbatim
arXiv:2606.00494v1 Announce Type: new Abstract: Post-Training Quantization (PTQ) and Low-Rank Adaptation (LoRA) constitute the standard pipeline for efficient Large Language Model (LLM) deployment. However, applying them sequentially poses a problem: PTQ often leaves behind random noise that is spre
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Originally published on arxiv ↗