stephenqz / OATSLinks
Github Repo for OATS: Outlier-Aware Pruning through Sparse and Low Rank Decomposition
☆13Updated 5 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☆45Updated 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 11 months ago
- Official implementation of the ICLR paper "Streamlining Redundant Layers to Compress Large Language Models"☆31Updated 4 months ago
- ☆51Updated last year
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆121Updated last month
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆166Updated 11 months ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆73Updated 2 months ago
- ☆20Updated 9 months ago
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆65Updated 5 months ago
- ☆31Updated last month
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆78Updated 10 months ago
- ☆59Updated last year
- [ICLR 2025] Official implementation of paper "Dynamic Low-Rank Sparse Adaptation for Large Language Models".☆21Updated 6 months ago
- [ICCAD 2025] Squant☆15Updated 2 months ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆61Updated last year
- The code for "AttentionPredictor: Temporal Pattern Matters for Efficient LLM Inference", Qingyue Yang, Jie Wang, Xing Li, Zhihai Wang, Ch…☆16Updated 2 months ago
- Awesome list for LLM pruning.☆258Updated this week
- [ICML 2024] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".☆111Updated 2 months ago
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆18Updated 9 months ago
- ☆58Updated 9 months ago
- ☆11Updated last year
- This repo contains the code for studying the interplay between quantization and sparsity methods☆23Updated 6 months ago
- ☆22Updated 10 months ago
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆45Updated last year
- Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks☆37Updated 7 months ago
- Code Repository of Evaluating Quantized Large Language Models☆131Updated last year
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆66Updated last year
- [NeurIPS 2023] Token-Scaled Logit Distillation for Ternary Weight Generative Language Models☆17Updated last year
- [COLM 2025] DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation; 知乎:https://zhuanlan.zhihu.c …☆26Updated 6 months ago