A simple and effective LLM pruning approach.
☆882Aug 9, 2024Updated 2 years ago
Alternatives and similar repositories for wanda
Users that are interested in wanda are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆902Aug 20, 2024Updated 2 years ago
- [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baich…☆1,142Oct 7, 2024Updated 2 years ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆81Jul 7, 2025Updated last year
- For releasing code related to compression methods for transformers, accompanying our publications☆464Sep 10, 2026Updated last month
- Awesome list for LLM pruning.☆296Oct 11, 2025Updated last year
- 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.
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆643Mar 4, 2024Updated 2 years ago
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆724Aug 13, 2024Updated 2 years ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆78Jan 6, 2024Updated 2 years ago
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,656Jul 17, 2025Updated last year
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,388Mar 27, 2024Updated 2 years ago
- Awesome LLM compression research papers and tools.☆1,888Updated this week
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆969Nov 26, 2025Updated 11 months ago
- A curated list for Efficient Large Language Models☆2,047Jun 17, 2025Updated last year
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆51Apr 9, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,700Jul 12, 2024Updated 2 years ago
- ☆556Feb 8, 2026Updated 8 months ago
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆71Mar 27, 2025Updated last year
- ☆173Feb 15, 2025Updated last year
- ☆12Oct 9, 2023Updated 3 years ago
- Reorder-based post-training quantization for large language model☆201May 17, 2023Updated 3 years ago
- [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆100Nov 25, 2024Updated last year
- ☆62Jun 10, 2024Updated 2 years ago
- [NeurIPS 24 Spotlight] MaskLLM: Learnable Semi-structured Sparsity for Large Language Models☆191Jan 1, 2025Updated last year
- 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.
- Unofficial implementations of block/layer-wise pruning methods for LLMs.☆78Apr 29, 2024Updated 2 years ago
- ☆363Apr 2, 2024Updated 2 years ago
- [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers☆196Feb 28, 2023Updated 3 years ago
- ☆129Jan 22, 2024Updated 2 years ago
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆400Feb 24, 2024Updated 2 years ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆538Nov 26, 2024Updated last year
- PB-LLM: Partially Binarized Large Language Models☆159Nov 20, 2023Updated 2 years ago
- BESA is a differentiable weight pruning technique for large language models.☆17Mar 4, 2024Updated 2 years ago
- [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333☆1,179Jan 11, 2024Updated 2 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆182Oct 13, 2026Updated 2 weeks ago
- ☆64Dec 15, 2024Updated last year
- LOMO: LOw-Memory Optimization☆992Jul 2, 2024Updated 2 years ago
- A framework for few-shot evaluation of language models.☆14,338Sep 14, 2026Updated last month
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆238Jan 11, 2025Updated last year
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆269Apr 23, 2024Updated 2 years ago
- Official PyTorch implementation of QA-LoRA☆149Mar 13, 2024Updated 2 years ago