Hybrid fine-tuning jointly optimizes LLMs and PEFT modules with mixed-order optimization and provides convergence guarantees under a new hybrid smoothness condition.
f(x1, y1) ≤f(x2, y2) + ∇f(x2, y2), x1 − x2 y1 − y2 + 1 2 [x1 − x2 y1 − y2] LxIdx 0 0 LyIdy x1 − x2 y1 − y2
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New Hybrid Fine-Tuning Paradigm for LLMs: Algorithm Design and Convergence Analysis Framework
Hybrid fine-tuning jointly optimizes LLMs and PEFT modules with mixed-order optimization and provides convergence guarantees under a new hybrid smoothness condition.