A simple and effective LLM pruning approach.
☆868Aug 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".☆889Aug 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…☆1,130Oct 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 last year
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆640Mar 4, 2024Updated 2 years ago
- Awesome list for LLM pruning.☆297Oct 11, 2025Updated 9 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☆722Aug 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☆3,592Jul 17, 2025Updated last year
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆901Nov 26, 2025Updated 7 months ago
- ☆60Jun 10, 2024Updated 2 years ago
- Awesome LLM compression research papers and tools.☆1,853Jun 30, 2026Updated 2 weeks ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆76Jan 6, 2024Updated 2 years ago
- A curated list for Efficient Large Language Models☆2,023Jun 17, 2025Updated last year
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,334Mar 27, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆50Apr 9, 2024Updated 2 years ago
- ☆12Oct 9, 2023Updated 2 years ago
- ☆554Feb 8, 2026Updated 5 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,670Jul 12, 2024Updated 2 years ago
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆70Mar 27, 2025Updated last year
- [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆100Nov 25, 2024Updated last year
- BESA is a differentiable weight pruning technique for large language models.☆17Mar 4, 2024Updated 2 years ago
- [NeurIPS 24 Spotlight] MaskLLM: Learnable Semi-structured Sparsity for Large Language Models☆189Jan 1, 2025Updated last year
- ☆63Dec 15, 2024Updated last year
- 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.
- Unofficial implementations of block/layer-wise pruning methods for LLMs.☆78Apr 29, 2024Updated 2 years ago
- Reorder-based post-training quantization for large language model☆199May 17, 2023Updated 3 years ago
- A block pruning framework for LLMs.☆28May 17, 2025Updated last year
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆399Feb 24, 2024Updated 2 years ago
- ☆359Apr 2, 2024Updated 2 years ago
- [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333☆1,168Jan 11, 2024Updated 2 years ago
- Official implementation for LaCo (EMNLP 2024 Findings)☆22Oct 3, 2024Updated last year
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆235Jan 11, 2025Updated last year
- [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers☆197Feb 28, 2023Updated 3 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.
- ☆129Jan 22, 2024Updated 2 years ago
- A framework for few-shot evaluation of language models.☆13,340Jul 13, 2026Updated last week
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆266Apr 23, 2024Updated 2 years ago
- Official PyTorch implementation of QA-LoRA☆147Mar 13, 2024Updated 2 years ago
- LOMO: LOw-Memory Optimization☆994Jul 2, 2024Updated 2 years ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆325Mar 4, 2025Updated last year
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆132Jul 11, 2023Updated 3 years ago