SoloQ: Calibration-Free Quantization for Diffusion Language Models
Diffusion large language models dLLMs) have emerged as a promising alternative to autoregressive language models through bidirectional diffusion-based token generation. However, their growing model sizes and high inference costs make efficient deployment challenging: full-sequence denoising repeatedly invokes compute-i...
Donghyun Lee, Arkapravo Ghosh, Varun Manjunath et al.
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