A simple and effective LLM pruning approach.
☆863Aug 9, 2024Updated last year
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".☆880Aug 20, 2024Updated last year
- [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baich…☆1,123Oct 7, 2024Updated last year
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆81Jul 7, 2025Updated 9 months ago
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆643Mar 4, 2024Updated 2 years ago
- Awesome list for LLM pruning.☆289Oct 11, 2025Updated 6 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆718Aug 13, 2024Updated last year
- For releasing code related to compression methods for transformers, accompanying our publications☆461Jan 16, 2025Updated last year
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,512Jul 17, 2025Updated 9 months ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆891Nov 26, 2025Updated 5 months ago
- ☆57Jun 10, 2024Updated last year
- Awesome LLM compression research papers and tools.☆1,824Feb 23, 2026Updated 2 months ago
- A curated list for Efficient Large Language Models☆1,993Jun 17, 2025Updated 10 months ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆75Jan 6, 2024Updated 2 years ago
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,293Mar 27, 2024Updated 2 years ago
- 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 Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆51Apr 9, 2024Updated 2 years ago
- ☆553Feb 8, 2026Updated 2 months ago
- ☆12Oct 9, 2023Updated 2 years ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,641Jul 12, 2024Updated last year
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆68Mar 27, 2025Updated last year
- [NeurIPS 24 Spotlight] MaskLLM: Learnable Semi-structured Sparsity for Large Language Models☆187Jan 1, 2025Updated last year
- [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆99Nov 25, 2024Updated last year
- ☆63Dec 15, 2024Updated last year
- BESA is a differentiable weight pruning technique for large language models.☆17Mar 4, 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.
- Unofficial implementations of block/layer-wise pruning methods for LLMs.☆78Apr 29, 2024Updated 2 years ago
- Official implementation for LaCo (EMNLP 2024 Findings)☆21Oct 3, 2024Updated last year
- Reorder-based post-training quantization for large language model☆199May 17, 2023Updated 2 years ago
- A block pruning framework for LLMs.☆28May 17, 2025Updated 11 months ago
- [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333☆1,165Jan 11, 2024Updated 2 years ago
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆229Jan 11, 2025Updated last year
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆397Feb 24, 2024Updated 2 years ago
- ☆355Apr 2, 2024Updated 2 years ago
- [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers☆193Feb 28, 2023Updated 3 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.
- ☆129Jan 22, 2024Updated 2 years ago
- A framework for few-shot evaluation of language models.☆12,331Apr 22, 2026Updated last week
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆268Apr 23, 2024Updated 2 years ago
- LOMO: LOw-Memory Optimization☆991Jul 2, 2024Updated last year
- Official PyTorch implementation of QA-LoRA☆146Mar 13, 2024Updated 2 years ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆324Mar 4, 2025Updated last year
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆131Jul 11, 2023Updated 2 years ago