[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.
☆1,134Oct 7, 2024Updated last year
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.☆870Aug 9, 2024Updated 2 years ago
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆892Aug 20, 2024Updated last year
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆644Mar 4, 2024Updated 2 years ago
- A curated list for Efficient Large Language Models☆2,033Jun 17, 2025Updated last year
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆76Jan 6, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- For releasing code related to compression methods for transformers, accompanying our publications☆462Jan 16, 2025Updated last year
- [CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.☆3,341Sep 7, 2025Updated 11 months ago
- Awesome list for LLM pruning.☆298Oct 11, 2025Updated 10 months ago
- Awesome LLM compression research papers and tools.☆1,861Jun 30, 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☆1,674Jul 12, 2024Updated 2 years ago
- [NeurIPS 24 Spotlight] MaskLLM: Learnable Semi-structured Sparsity for Large Language Models☆189Jan 1, 2025Updated last year
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,614Jul 17, 2025Updated last year
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,350Mar 27, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- 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 LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆176Updated this week
- 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
- ☆359Apr 2, 2024Updated 2 years ago
- A family of compressed models obtained via pruning and knowledge distillation☆385Nov 6, 2025Updated 9 months ago
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,765Jun 25, 2024Updated 2 years ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆907Nov 26, 2025Updated 8 months ago
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆268Apr 23, 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.
- [CVPR 2024] DeepCache: Accelerating Diffusion Models for Free☆970Jun 27, 2024Updated 2 years ago
- A framework for few-shot evaluation of language models.☆13,616Updated this week
- ☆63Dec 15, 2024Updated last year
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆328Mar 4, 2025Updated last year
- ⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)☆1,003Dec 6, 2024Updated last year
- [NeurIPS 2023] Structural Pruning for Diffusion Models☆223Jul 8, 2024Updated 2 years ago
- A curated list of neural network pruning resources.☆2,498Apr 4, 2024Updated 2 years ago
- [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.☆529Aug 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 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.
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆346Apr 10, 2026Updated 4 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 last year
- [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers☆197Feb 28, 2023Updated 3 years ago
- Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25).☆2,500Feb 20, 2026Updated 5 months ago
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.☆5,073Apr 11, 2025Updated last year