stephenqz / OATSLinks
Github Repo for OATS: Outlier-Aware Pruning through Sparse and Low Rank Decomposition
☆15Updated 7 months ago
Alternatives and similar repositories for OATS
Users that are interested in OATS are comparing it to the libraries listed below
Sorting:
- ☆37Updated 3 weeks ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆74Updated 5 months ago
- ☆52Updated last year
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆67Updated 8 months ago
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆46Updated last year
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆178Updated last year
- This repo contains the code for studying the interplay between quantization and sparsity methods☆24Updated 9 months ago
- SLiM: One-shot Quantized Sparse Plus Low-rank Approximation of LLMs (ICML 2025)☆31Updated 2 weeks ago
- ☆24Updated last year
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆50Updated last year
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆137Updated 4 months ago
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆21Updated last month
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆68Updated last year
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆82Updated last year
- [COLM 2025] DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation; 知乎：https://zhuanlan.zhihu.c…☆29Updated 9 months ago
- Code Repository of Evaluating Quantized Large Language Models☆137Updated last year
- [ICLR 2025] Official implementation of paper "Dynamic Low-Rank Sparse Adaptation for Large Language Models".☆23Updated 8 months ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆38Updated last year
- LLM Inference with Microscaling Format☆33Updated last year
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆61Updated 5 months ago
- The code for "AttentionPredictor: Temporal Pattern Matters for Efficient LLM Inference", Qingyue Yang, Jie Wang, Xing Li, Zhihai Wang, Ch…☆24Updated 4 months ago
- Official implementation of the ICLR paper "Streamlining Redundant Layers to Compress Large Language Models"☆35Updated 7 months ago
- The Official Implementation of Ada-KV [NeurIPS 2025]☆118Updated 2 weeks ago
- ☆11Updated 2 years ago
- Awesome list for LLM pruning.☆278Updated 2 months ago
- ☆26Updated last year
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆63Updated last year
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆169Updated 2 weeks ago
- [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆46Updated last year
- [ICCAD 2025] Squant☆15Updated 5 months ago