展示HN:如何使用谷歌的极限AI压缩与Ollama和Llama.cpp

1作者: anju-kushwaha大约 24 小时前原帖
谷歌研究推出的TurboQuant、PolarQuant和QJL(量化约翰逊-林登斯特劳斯)不仅仅是技术上的优化。在Vucense,我们认为这是推断主权的一个里程碑时刻。
查看原文
The introduction of TurboQuant, PolarQuant, and QJL (Quantized Johnson-Lindenstrauss) by Google Research represents more than just a technical optimization. At Vucense, we view this as a landmark moment for Inference Sovereignty<p><a href="https:&#x2F;&#x2F;vucense.com&#x2F;ai-intelligence&#x2F;local-llms&#x2F;turboquant-extreme-compression-inference-sovereignty&#x2F;" rel="nofollow">https:&#x2F;&#x2F;vucense.com&#x2F;ai-intelligence&#x2F;local-llms&#x2F;turboquant-ex...</a>