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L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models
This has led to active research on quantization-aware PEFT techniques, which aim to create models with high accuracy and low memory overhead.
Squeezing Large-Scale Diffusion Models for Mobile
The emergence of diffusion models has greatly broadened the scope of high-fidelity image synthesis, resulting in notable advancements in both practical implementation and academic research.
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