[NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
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Updated
Jun 2, 2023 - Python
[NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
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A imperative reversible programming language developed in Python.
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Finite-state counter synapses + reversible activations for memory-efficient training. 6-bit code holds the entire per-parameter training state — no FP master weight, no Adam moments. 1.21B params trains on a single T4 in 2.25 GiB peak.
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To associate your repository with the reversible topic, visit your repo's landing page and select "manage topics."