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Efficient one bit LLMs for computational performance
The emergence of one bit LLMs brings about similar performance to models with the same parameter size but with increased computational efficiency. This feature is crucial for applications where computational efficiency is key, such as in scenarios requiring parameter efficiency and flexibility across deployment scenarios in fields like computer vision and generative use cases.