stephenqz / OATSLinks
Github Repo for OATS: Outlier-Aware Pruning through Sparse and Low Rank Decomposition
☆13Updated 4 months ago
Alternatives and similar repositories for OATS
Users that are interested in OATS are comparing it to the libraries listed below
Sorting:
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆44Updated last year
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆49Updated last year
- Official implementation for LaCo (EMNLP 2024 Findings)☆17Updated 10 months ago
- ☆20Updated 9 months ago
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆116Updated 3 weeks ago
- [ICML 2024] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".☆110Updated last month
- [ICLR 2025] Official implementation of paper "Dynamic Low-Rank Sparse Adaptation for Large Language Models".☆21Updated 5 months ago
- Official implementation of the ICLR paper "Streamlining Redundant Layers to Compress Large Language Models"☆31Updated 3 months ago
- ☆50Updated last year
- An effective weight-editing method for mitigating overly short reasoning in LLMs, and a mechanistic study uncovering how reasoning length…☆12Updated last week
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆76Updated 10 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆165Updated 10 months ago
- ☆26Updated last month
- ☆57Updated 8 months ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆73Updated last month
- The code for "AttentionPredictor: Temporal Pattern Matters for Efficient LLM Inference", Qingyue Yang, Jie Wang, Xing Li, Zhihai Wang, Ch…☆17Updated last month
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆64Updated 5 months ago
- ☆10Updated last year
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆18Updated 8 months ago
- [NeurIPS 2024] AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models☆26Updated 2 months ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆59Updated last year
- Awesome list for LLM pruning.☆255Updated this week
- [ICLR 2025🔥] D2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models☆20Updated last month
- [ICCAD 2025] Squant☆14Updated last month
- ☆59Updated last year
- Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks☆38Updated 6 months ago
- [COLM 2025] DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation; 知乎:https://zhuanlan.zhihu.c…☆26Updated 5 months ago
- A block pruning framework for LLMs.☆24Updated 3 months ago
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆42Updated last year
- Awesome-Low-Rank-Adaptation☆115Updated 10 months ago