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Closed-form trajectory weight surgery: transferring 4B capabilities into 0.8B without billions of tokens (why middle layers break, and how 4 anchor blocks fixed it)

Reddit r/LocalLLaMA ↗ · 2026-10-06

Researchers propose a backprop-free, closed-form trajectory-matching method to transfer 4B model capabilities into a 0.8B student, finding that restricting weight surgery to 4 anchor layers avoids NLL explosions, yielding 10.8% lower held-out NLL across 30 benchmarks while running entirely on an 8GB RX 580.

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