luuyin / OWLLinks
Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"
☆73Updated last month
Alternatives and similar repositories for OWL
Users that are interested in OWL are comparing it to the libraries listed below
Sorting:
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆315Updated 7 months ago
- Code Repository of Evaluating Quantized Large Language Models☆130Updated 11 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆147Updated 3 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆75Updated 10 months ago
- ☆20Updated last year
- ☆139Updated 6 months ago
- [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection☆132Updated 6 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆165Updated 10 months ago
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆64Updated last year
- QAQ: Quality Adaptive Quantization for LLM KV Cache☆52Updated last year
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆165Updated last year
- [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…☆59Updated last year
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆116Updated 2 weeks ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆414Updated 8 months ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆113Updated last month
- ☆273Updated last month
- ☆29Updated last year
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆319Updated last year
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆126Updated 2 years ago
- 16-fold memory access reduction with nearly no loss☆104Updated 4 months ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆57Updated 3 weeks ago
- ☆332Updated last year
- ☆50Updated last year
- AFPQ code implementation☆22Updated last year
- ☆26Updated 3 weeks ago
- Awesome list for LLM pruning.☆251Updated this week
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆153Updated last month
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆120Updated last year
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆323Updated last month
- ☆51Updated last year