AutoRound significantly outperforms standard AWQ and RTN in perplexity and accuracy, especially for complex reasoning and long contexts. It natively exports to GGUF, bypassing conversion issues, and runs on any PyTorch setup, yet remains underused despite these advantages.
Why is AutoRound being slept on so hard?
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