I Tested Quantized Unlimited-OCR on Mac. 4-Bit Was Not the Sweet Spot.
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A quantization "quality ladder" where the full-precision model performs worse than its own 4-bit version is not really measuring quality. It is measuring noise. I kept running into this while looking at quantized versions of Unlimited-OCR , Baidu's new 3B OCR model released under the MIT license. Most quantized repos had one of two problems: either they shipped no quality numbers at all, or the numbers were difficult to trust. Some baselines were losing to their own quants. Some character error…
1Key Takeaways
- A quantization "quality ladder" where the full-precision model performs worse than its own 4-bit version is not really measuring quality.
- I kept running into this while looking at quantized versions of Unlimited-OCR , Baidu's new 3B OCR model released under the MIT license.
- Most quantized repos had one of two problems: either they shipped no quality numbers at all, or the numbers were difficult to trust.
- Some baselines were losing to their own quants.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that a quantization "quality ladder" where the full-precision model performs worse than its own 4-bit version is not really measuring quality.
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