Distill Your Docs: an 8B Teacher, a 0.6B Student, and What Actually Transfers
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An 8B reasoning model summarizes and labels documents for a retrieval index very well, at 10 seconds per document. A 0.6B model answers in under a second but classifies documents at chance level. So I made two different 8B teachers each write a textbook, and trained a 0.6B student on each, on a Mac, in about twelve minutes per student. One student became a perfect classifier. The other became a faithful writer. Neither became both, and that is the finding. The headline numbers: the student runs…
1Key Takeaways
- An 8B reasoning model summarizes and labels documents for a retrieval index very well, at 10 seconds per document.
- A 0.6B model answers in under a second but classifies documents at chance level.
- So I made two different 8B teachers each write a textbook, and trained a 0.6B student on each, on a Mac, in about twelve minutes per student.
- One student became a perfect classifier.
2AIWedia Score
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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 an 8B reasoning model summarizes and labels documents for a retrieval index very well, at 10 seconds per document.
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