Effortless Efficiency: Low-Cost Pruning of Diffusion Models
Diffusion models have achieved impressive advancements in various vision tasks. However,
these gains often rely on increasing model size, which escalates computational complexity …
these gains often rely on increasing model size, which escalates computational complexity …
Accelerating Large Language Models through Partially Linear Feed-Forward Network
G Hu, Z Wang, J Wei, W Huang, H Chen - arXiv preprint arXiv:2501.10054, 2025 - arxiv.org
Large language models (LLMs) demonstrate remarkable capabilities but face deployment
challenges due to their massive parameter counts. While existing compression techniques …
challenges due to their massive parameter counts. While existing compression techniques …