Hybrid fine-tuning jointly optimizes LLMs and PEFT modules with mixed-order optimization and provides convergence guarantees under a new hybrid smoothness condition.
(6) ◦ Choose F such that P(τ1 < T, τ 2 ≥ T ) ≤ δ
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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.