The BitNet b1.58 2B4T model was developed by Microsoft's General Artificial Intelligence group and contains two billion ...

Memory requirements are the most obvious advantage of reducing the complexity of a model's internal weights. The BitNet b1.58 ...

A group of computer scientists at Microsoft Research, working with a colleague from the University of Chinese Academy of ...

Microsoft's BitNet challenges industry norms with a minimalist approach using ternary weights that require just 400MB of ...

Microsoft researchers have developed — and released — a hyper-efficient AI model that can run on CPUs, including Apple's M2.

Microsoft’s model BitNet b1.58 2B4T is available on Hugging Face but doesn’t run on GPU and requires a proprietary framework.

Microsoft’s new BitNet b1.58 model significantly reduces memory and energy requirements while matching the capabilities of ...

Microsoft’s new large language model (LLM) puts significantly less strain on hardware than other LLMs—and it’s free to ...

Microsoft researchers have created BitNet b1.58 2B4T, a large-scale 1-bit AI model that can efficiently run on CPUs, ...