Introducing cyankiwi AWQ 4-bit Quantization — 26.05 update

• A new version of the cyankiwi AWQ 4-bit quantization method has been released, titled “cyankiwi AWQ 26.05 update.”
• The update jointly fits per-channel scales and quantization ranges against a reconstruction objective to optimize quality.
• Comparing this new version with other major 4-bit methods on the Llama-3 model, cyankiwi posts the lowest KL Divergence on all three base models (Llama-3.2-3B-Instruct, Llama-3.1-8B-Instruct, and Llama-3.3-70B-Instruct).

Originally published at reddit.com. Curated by AI Maestro.

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