Archsloth fixes two AutoRound flags, says Qwen3-4B drifts less

The project reports 20.9% to 54.4% lower KL divergence at the same 2.50 GB size, with calibration text doing more work than bit allocation.

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Primary source: Hugging Face Newsroom

Why it matters

Local-model distributors can ship files with the same size and format that preserve materially different behavior. Quantization recipes and calibration data deserve the same scrutiny as model weights and benchmarks.

A human hand interacts with a trackpad, with a computer monitor in the background displaying a complex data visualization showing converging data points and lines, and a small Hugging Face logo on the monitor bezel.

The contributors behind Archsloth published a correction on September 14th to a quantization workflow they had used for months, saying two changed AutoRound settings produced a version of Alibaba's Qwen3-4B that stayed closer to the original model without adding a single byte.…

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