AIBullisharXiv – CS AI · Apr 147/10
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Why Smaller Is Slower? Dimensional Misalignment in Compressed LLMs
Researchers identify dimensional misalignment as a critical bottleneck in compressed large language models, where parameter reduction fails to improve GPU performance due to hardware-incompatible tensor dimensions. They propose GAC (GPU-Aligned Compression), a new optimization method that achieves up to 1.5× speedup while maintaining model quality by ensuring hardware-friendly dimensions.
🧠 Llama