Quantization of large scale language models
收藏DataCite Commons2024-09-05 更新2025-04-16 收录
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https://orkg.org/comparison/R731245
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资源简介：
Quantization is a powerful technique for reducing model size and speeding up inference, and it has demonstrated effectiveness across various convolutional neural networks. The increasing size of NLP models leads to a memory wall problem during the generation phase. To address this challenge, recent efforts have concentrated on quantizing models.
提供机构：
Open Research Knowledge Graph
创建时间：
2024-09-05
