Compressed (caveman) reasoning traces train models to reason in ~2-3x fewer tokens at equal or better accuracy. For full ablation: sibling collection.
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Marco De Santis
marcodsn
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LMs, datasets, cats?
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marcodsn/catmind-1.2b:Weight merging and layers splicingOrganizations
Compressed (caveman) reasoning traces train models to reason in ~2-3x fewer tokens at equal or better accuracy. For full ablation: sibling collection.
All ablation arms + dataset variants behind the caveman reasoning-compression study. For headline artifacts: see the main collection.
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