LLaMA Pro: Progressive LLaMA with Block Expansion
Paper
•
2401.02415
•
Published
•
53
Papers for finetuning
-
-
Datasheets for Datasets
Paper • 1803.09010 • Published • 2 -
BitDelta: Your Fine-Tune May Only Be Worth One Bit
Paper • 2402.10193 • Published • 17 -
PockEngine: Sparse and Efficient Fine-tuning in a Pocket
Paper • 2310.17752 • Published • 12 -
Conditioned Language Policy: A General Framework for Steerable Multi-Objective Finetuning
Paper • 2407.15762 • Published • 9 -
Towards Modular LLMs by Building and Reusing a Library of LoRAs
Paper • 2405.11157 • Published • 25