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:
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆74Updated 4 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.☆176Updated last year
- ☆52Updated last year
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆21Updated last week
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆50Updated last year
- ☆37Updated 3 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆80Updated last year
- ☆23Updated last year
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆67Updated 7 months ago
- LLM Inference with Microscaling Format☆32Updated last year
- SLiM: One-shot Quantized Sparse Plus Low-rank Approximation of LLMs (ICML 2025)☆29Updated this week
- This repo contains the code for studying the interplay between quantization and sparsity methods☆23Updated 8 months ago
- D^2-MoE: Delta Decompression for MoE-based LLMs Compression☆69Updated 7 months ago
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆67Updated last year
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆63Updated last year
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆134Updated 3 months ago
- [COLM 2025] DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation; 知乎:https://zhuanlan.zhihu.c…☆28Updated 8 months ago
- ☆23Updated 11 months ago
- [ICLR 2025] Official implementation of paper "Dynamic Low-Rank Sparse Adaptation for Large Language Models".☆23Updated 8 months ago
- [ICML‘24] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".☆117Updated 4 months ago
- [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection☆146Updated 9 months ago
- Official implementation of the ICLR paper "Streamlining Redundant Layers to Compress Large Language Models"☆33Updated 6 months ago
- QAQ: Quality Adaptive Quantization for LLM KV Cache☆55Updated last year
- Code Repository of Evaluating Quantized Large Language Models☆137Updated last year
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆59Updated 4 months ago
- ☆53Updated last year
- The Official Implementation of Ada-KV [NeurIPS 2025]☆113Updated last month
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆164Updated 3 weeks ago
- Awesome list for LLM pruning.☆273Updated last month