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The 1-Bit Bonsai is a line of commercially viable 1-bit large language models (LLMs) developed by Prism ML. These models utilize 1-bit precision to reduce memory usage and increase inference speed, making them suitable for deployment on edge devices or in resource-constrained environments. The 1-Bit Bonsai models are available for integration into various applications through the Prism ML platform.
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1-bit at commercial scale is wild, what's the accuracy tradeoff vs fp16?
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