Fusion Check: a zero-data law that predicts whether merging two fine-tunes preserves behavior (13 pairs, LOOCV 0.81, open source)
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I built Fusion Check — a law that tells you, before merging , whether two fine-tuned LLMs are compatible. No data, no gradients, no GPU. Under a second. The problem it solves: Blind "soup" (weight averaging) always merges — but when two models were trained on different tasks, the fusion dilutes bot…
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- 2026-09-07 20:49 · DEV Community — Machine Learning
Show HN: Fusion Check — a zero-data law that predicts when merging LLMs is safe - 2026-09-07 20:48 · DEV Community — Machine Learning
Fusion Check: a zero-data law that predicts whether merging two fine-tunes preserves behavior (13 pairs, LOOCV 0.81, open source)