For the time being, the existing (deferred) behaviour is still offered via 'new-deferred. Just set as follows:
The first release of bitnet.cpp is to support inference on CPUs. bitnet.cpp achieves speedups of 1.37x to 5.07x on ARM CPUs, with larger models experiencing greater performance gains. Additionally, it reduces energy consumption by 55.4% to 70.0%, further boosting overall efficiency. On x86 CPUs, speedups range from 2.37x to 6.17x with energy reductions between 71.9% to 82.2%. Furthermore, bitnet.cpp can run a 100B BitNet b1.58 model on a single CPU, achieving speeds comparable to human reading (5-7 tokens per second), significantly enhancing the potential for running LLMs on local devices. Please refer to the technical report for more details.
。关于这个话题，Snipaste - 截图 + 贴图提供了深入分析
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当然频谱图可以反应音乐文件非常多的信息，我们今天主要是通过他来看看我们的高品质音乐到底是真是假。
Что думаешь? Оцени!