[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.
☆1,111Oct 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.☆856Aug 9, 2024Updated last year
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆877Aug 20, 2024Updated last year
- [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☆1,968Jun 17, 2025Updated 9 months ago
- For releasing code related to compression methods for transformers, accompanying our publications☆455Jan 16, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Awesome list for LLM pruning.☆290Oct 11, 2025Updated 5 months ago
- [CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.☆3,275Sep 7, 2025Updated 6 months ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆70Jan 6, 2024Updated 2 years ago
- Awesome LLM compression research papers and tools.☆1,794Feb 23, 2026Updated last month
- Structural Pruning for LLaMA☆54May 20, 2023Updated 2 years ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,625Jul 12, 2024Updated last year
- [NeurIPS 24 Spotlight] MaskLLM: Learnable Semi-structured Sparsity for Large Language Models☆187Jan 1, 2025Updated last year
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,469Jul 17, 2025Updated 8 months ago
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,266Mar 27, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆81Jul 7, 2025Updated 8 months ago
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆67Mar 27, 2025Updated 11 months ago
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆155Mar 2, 2026Updated 3 weeks ago
- Unofficial implementations of block/layer-wise pruning methods for LLMs.☆78Apr 29, 2024Updated last year
- ☆354Apr 2, 2024Updated last year
- A family of compressed models obtained via pruning and knowledge distillation☆374Nov 6, 2025Updated 4 months ago
- A framework for few-shot evaluation of language models.☆11,802Mar 18, 2026Updated last week
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆892Nov 26, 2025Updated 3 months ago
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,722Jun 25, 2024Updated last year
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- [CVPR 2024] DeepCache: Accelerating Diffusion Models for Free☆964Jun 27, 2024Updated last year
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆263Apr 23, 2024Updated last year
- ☆40Nov 22, 2025Updated 4 months ago
- ☆63Dec 15, 2024Updated last year
- ⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)☆1,000Dec 6, 2024Updated last year
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆323Mar 4, 2025Updated last year
- [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers☆192Feb 28, 2023Updated 3 years ago
- [NeurIPS 2023] Structural Pruning for Diffusion Models☆218Jul 8, 2024Updated last year
- A curated list of neural network pruning resources.☆2,491Apr 4, 2024Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.☆507Aug 1, 2024Updated last year
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆330Nov 26, 2025Updated 3 months ago
- Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"☆30Mar 28, 2024Updated last year
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆713Aug 13, 2024Updated last year
- [ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408☆198May 9, 2023Updated 2 years ago
- Official implementation for LaCo (EMNLP 2024 Findings)☆21Oct 3, 2024Updated last year
- Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25).☆2,229Feb 20, 2026Updated last month