[NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baichuan, TinyLlama, etc.
☆1,140Oct 7, 2024Updated 2 years ago
Alternatives and similar repositories for LLM-Pruner
Users that are interested in LLM-Pruner are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A simple and effective LLM pruning approach.☆880Aug 9, 2024Updated 2 years ago
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆900Aug 20, 2024Updated 2 years ago
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆643Mar 4, 2024Updated 2 years ago
- A curated list for Efficient Large Language Models☆2,044Jun 17, 2025Updated last year
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆77Jan 6, 2024Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- For releasing code related to compression methods for transformers, accompanying our publications☆462Sep 10, 2026Updated last month
- [CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.☆3,358Sep 7, 2025Updated last year
- Awesome list for LLM pruning.☆296Oct 11, 2025Updated last year
- Awesome LLM compression research papers and tools.☆1,883Aug 27, 2026Updated last month
- Structural Pruning for LLaMA☆54May 20, 2023Updated 3 years ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,697Jul 12, 2024Updated 2 years ago
- [NeurIPS 24 Spotlight] MaskLLM: Learnable Semi-structured Sparsity for Large Language Models☆191Jan 1, 2025Updated last year
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,649Jul 17, 2025Updated last year
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,385Mar 27, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆81Jul 7, 2025Updated last year
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆181Sep 9, 2026Updated last month
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆71Mar 27, 2025Updated last year
- Unofficial implementations of block/layer-wise pruning methods for LLMs.☆78Apr 29, 2024Updated 2 years ago
- ☆363Apr 2, 2024Updated 2 years ago
- A family of compressed models obtained via pruning and knowledge distillation☆386Nov 6, 2025Updated 11 months ago
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,772Jun 25, 2024Updated 2 years ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆959Nov 26, 2025Updated 10 months ago
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆270Apr 23, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [CVPR 2024] DeepCache: Accelerating Diffusion Models for Free☆968Jun 27, 2024Updated 2 years ago
- A framework for few-shot evaluation of language models.☆14,192Sep 14, 2026Updated 3 weeks ago
- ☆63Dec 15, 2024Updated last year
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆329Mar 4, 2025Updated last year
- ⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)☆1,004Dec 6, 2024Updated last year
- [NeurIPS 2023] Structural Pruning for Diffusion Models☆225Jul 8, 2024Updated 2 years ago
- A curated list of neural network pruning resources.☆2,497Apr 4, 2024Updated 2 years ago
- [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.☆535Aug 1, 2024Updated 2 years ago
- Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"☆32Mar 28, 2024Updated 2 years ago
- 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.
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆353Apr 10, 2026Updated 6 months ago
- [ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408☆198May 9, 2023Updated 3 years ago
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆724Aug 13, 2024Updated 2 years ago
- OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM☆311Sep 16, 2024Updated 2 years ago
- [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers☆196Feb 28, 2023Updated 3 years ago
- Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25).☆2,550Feb 20, 2026Updated 7 months ago
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.☆5,065Apr 11, 2025Updated last year