REAL-Q: New LLM Quantization Method Cuts KL Divergence by 49% via Dynamic Gradient Descent

REAL-Q, a new post-training quantization method for LLMs, reduces end-to-end KL divergence by up to 49% versus state-of-the-art methods.

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