Awesome list for LLM pruning.
☆297Oct 11, 2025Updated 9 months ago
Alternatives and similar repositories for Awesome-LLM-Prune
Users that are interested in Awesome-LLM-Prune are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆173May 19, 2026Updated 2 months ago
- [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆100Nov 25, 2024Updated last year
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆76Jan 6, 2024Updated 2 years ago
- A simple and effective LLM pruning approach.☆868Aug 9, 2024Updated last year
- ☆60Jun 10, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baich…☆1,133Oct 7, 2024Updated last year
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆82Jul 7, 2025Updated last year
- Awesome list for LLM quantization☆436Apr 20, 2026Updated 3 months ago
- A curated list for Efficient Large Language Models☆2,026Jun 17, 2025Updated last year
- Github Repo for OATS: Outlier-Aware Pruning through Sparse and Low Rank Decomposition☆20Apr 16, 2025Updated last year
- This is the official repo for "Differentiable Model Scaling using Differentiable Topk"☆12May 16, 2024Updated 2 years ago
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆891Aug 20, 2024Updated last year
- Awesome LLM compression research papers and tools.☆1,854Jun 30, 2026Updated 3 weeks ago
- Unofficial implementations of block/layer-wise pruning methods for LLMs.☆78Apr 29, 2024Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- [ICLR 2025] Official implementation of paper "Dynamic Low-Rank Sparse Adaptation for Large Language Models".☆25Mar 16, 2025Updated last year
- [NeurIPS 24 Spotlight] MaskLLM: Learnable Semi-structured Sparsity for Large Language Models☆189Jan 1, 2025Updated last year
- SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs☆68Mar 25, 2025Updated last year
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆70Mar 27, 2025Updated last year
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆643Mar 4, 2024Updated 2 years ago
- Code for "ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models" (ICLR 2024)☆21Feb 16, 2024Updated 2 years ago
- Are gradient information useful for pruning of LLMs?☆48Aug 23, 2025Updated 11 months ago
- [ICML 2024] Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks☆42Feb 4, 2025Updated last year
- Compressed LLMs for Efficient Text Generation [ICLR'24 Workshop]☆90Sep 13, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆30Jul 22, 2024Updated 2 years ago
- Learnable Semi-structured Sparsity for Vision Transformers and Diffusion Transformers☆15Feb 7, 2025Updated last year
- [NeurIPS 2024] AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models☆34Jun 9, 2025Updated last year
- [ICLR 2025🔥] SVD-LLM & [NAACL 2025🔥] SVD-LLM V2☆302Aug 28, 2025Updated 11 months ago
- ☆43Jun 14, 2026Updated last month
- PyTorch code for our paper "Progressive Binarization with Semi-Structured Pruning for LLMs"☆13Jul 11, 2026Updated 2 weeks ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆92Oct 22, 2024Updated last year
- [TMLR 2024] Efficient Large Language Models: A Survey☆1,259Jun 23, 2025Updated last year
- [ICLR'25] R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference☆21Apr 28, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- [ICLR 2024] Jaiswal, A., Gan, Z., Du, X., Zhang, B., Wang, Z., & Yang, Y. Compressing llms: The truth is rarely pure and never simple.☆27Apr 21, 2025Updated last year
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆14Nov 27, 2024Updated last year
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆187Apr 24, 2026Updated 3 months ago
- Towards Meta-Pruning via Optimal Transport, ICLR 2024 (Spotlight)☆18Dec 5, 2024Updated last year
- For releasing code related to compression methods for transformers, accompanying our publications☆462Jan 16, 2025Updated last year
- Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"☆32Mar 28, 2024Updated 2 years ago
- Code Implementation for "NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models" (EMNLP …☆17Oct 17, 2023Updated 2 years ago