Source record

Published by r/LocalLLaMA (T2 source). The original is at https://www.reddit.com/r/LocalLLaMA/comments/1vjanps/kimi_k3_unsloth_iq2xxs_from_711gb_down_to_478gb/.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

Community post reports the Kimi K3 model quantized with Unsloth's IQ2-XXS method, shrinking the files from 711GB to 478GB by removing multilingual capability to reduce size.

Concrete numbers for an extreme quantization tradeoff on a frontier-scale model, useful for anyone fitting very large weights onto local hardware.

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