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GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Paper • 2403.03507 • Published • 191 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 46 -
ReFT: Representation Finetuning for Language Models
Paper • 2404.03592 • Published • 99
Collection by Mar 14, 2024
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ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
Paper • 2403.03853 • Published • 66 -
SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot
Paper • 2301.00774 • Published • 4 -
The LLM Surgeon
Paper • 2312.17244 • Published • 9 -
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Paper • 2401.15024 • Published • 72
Collection by Mar 29, 2024
Collection by Aug 23, 2024
Collection by Mar 7, 2024
Collection by Mar 7, 2024
Collection by Mar 7, 2024
Collection by Mar 7, 2024
Collection by Feb 27, 2025
Collection by Apr 8, 2024
-
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Paper • 2403.03507 • Published • 191 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 46 -
ReFT: Representation Finetuning for Language Models
Paper • 2404.03592 • Published • 99
Collection by Mar 7, 2024
Collection by Mar 14, 2024
-
ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
Paper • 2403.03853 • Published • 66 -
SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot
Paper • 2301.00774 • Published • 4 -
The LLM Surgeon
Paper • 2312.17244 • Published • 9 -
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Paper • 2401.15024 • Published • 72