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SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using
Training Dynamics

SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics

North American Chapter of the Association for Computational Linguistics (NAACL), 2023

29 May 2023

Doru-Thom Popovici

ArXiv (abs)PDF HTML HuggingFace (2 upvotes)Github (10★)

Papers citing "SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics"

2 / 2 papers shown

Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning with Heterogeneous LoRA Allocation

Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning with Heterogeneous LoRA AllocationIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025

287

11

0

13 Jun 2025

Fed-pilot: Optimizing LoRA Allocation for Efficient Federated Fine-Tuning with Heterogeneous Clients

Fed-pilot: Optimizing LoRA Allocation for Efficient Federated Fine-Tuning with Heterogeneous Clients

330

5

0

14 Oct 2024

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