AINeutralarXiv – CS AI · Mar 176/10
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Quantization Meets dLLMs: A Systematic Study of Post-training Quantization for Diffusion LLMs
Researchers conducted the first systematic study on post-training quantization for diffusion large language models (dLLMs), identifying activation outliers as a key challenge for compression. The study evaluated state-of-the-art quantization methods across multiple dimensions to provide insights for efficient dLLM deployment on edge devices.