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Microsoft's BitNet shows what AI can do with just 400MB and no GPU
The BitNet b1.58 2B4T model was developed by Microsoft's General Artificial Intelligence group and contains two billion parameters – internal values that enable the model to understand...
The result is a model that dramatically reduces memory usage and can run far more easily on standard hardware, without requiring the high-end GPUs typically needed for large-scale AI. This extensive training allows BitNet to perform on par with – or in some cases, better than – other leading models of similar size, such as Meta's Llama 3.2 1B, Google's Gemma 3 1B, and Alibaba's Qwen 2.5 1.5B. In benchmark tests, BitNet b1.58 2B4T demonstrated strong performance across a variety of tasks, including grade-school math problems and questions requiring common sense reasoning.
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