pixeli99 / OWSLinks
Official Pytorch Implementation of "Outlier-weighed Layerwise Sampling for LLM Fine-tuning" by Pengxiang Li, Lu Yin, Xiaowei Gao, Shiwei Liu
☆34Updated 2 months ago
Alternatives and similar repositories for OWS
Users that are interested in OWS are comparing it to the libraries listed below
Sorting:
- LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning☆35Updated last year
- ☆57Updated 8 months ago
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆49Updated last year
- ☆20Updated 9 months ago
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆67Updated 6 months ago
- [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models☆101Updated last year
- Code accompanying the paper "Massive Activations in Large Language Models"☆176Updated last year
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆44Updated last year
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆88Updated 10 months ago
- A block pruning framework for LLMs.☆24Updated 3 months ago
- [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models☆81Updated last year
- A curated list of Model Merging methods.☆92Updated 11 months ago
- Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "☆129Updated 4 months ago
- Codes for Merging Large Language Models☆33Updated last year
- [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆92Updated 2 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆76Updated 10 months ago
- [ICML 2024] SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models☆21Updated last year
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆59Updated last year
- A generalized framework for subspace tuning methods in parameter efficient fine-tuning.☆154Updated 2 months ago
- 🚀 LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training☆87Updated 8 months ago
- ☆26Updated last year
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆64Updated 5 months ago
- [ICLR 2025] Official implementation of paper "Dynamic Low-Rank Sparse Adaptation for Large Language Models".☆21Updated 5 months ago
- Awesome-Low-Rank-Adaptation☆115Updated 10 months ago
- ☆30Updated last year
- CoT-Valve: Length-Compressible Chain-of-Thought Tuning☆84Updated 6 months ago
- ☆151Updated last year
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆67Updated last year
- Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]☆49Updated 10 months ago
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆117Updated 3 weeks ago