Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".
☆876Aug 20, 2024Updated last year
Alternatives and similar repositories for sparsegpt
Users that are interested in sparsegpt 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.☆861Aug 9, 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…☆1,114Oct 7, 2024Updated last year
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,282Mar 27, 2024Updated 2 years ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,631Jul 12, 2024Updated last year
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆129Jul 11, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆67Mar 27, 2025Updated 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
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆715Aug 13, 2024Updated last year
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,488Jul 17, 2025Updated 8 months ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆73Jan 6, 2024Updated 2 years ago
- A curated list for Efficient Large Language Models☆1,977Jun 17, 2025Updated 9 months ago
- For releasing code related to compression methods for transformers, accompanying our publications☆458Jan 16, 2025Updated last year
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆643Mar 4, 2024Updated 2 years ago
- ☆354Apr 2, 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.
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆893Nov 26, 2025Updated 4 months ago
- Reorder-based post-training quantization for large language model☆199May 17, 2023Updated 2 years ago
- Awesome list for LLM pruning.☆288Oct 11, 2025Updated 5 months ago
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆280Nov 3, 2023Updated 2 years ago
- ☆56Jun 10, 2024Updated last year
- 4 bits quantization of LLaMA using GPTQ☆3,071Jul 13, 2024Updated 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
- SparseGPT + GPTQ Compression of LLMs like LLaMa, OPT, Pythia☆42Mar 13, 2023Updated 3 years ago
- ☆64Oct 17, 2023Updated 2 years ago
- 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.
- ☆553Feb 8, 2026Updated 2 months ago
- [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.☆510Aug 1, 2024Updated last year
- Awesome LLM compression research papers and tools.☆1,796Feb 23, 2026Updated last month
- ☆244Nov 9, 2022Updated 3 years ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆1,048Sep 4, 2024Updated last year
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆822Mar 6, 2025Updated last year
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆229Jan 11, 2025Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆419Aug 13, 2024Updated last year
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆396Feb 24, 2024Updated 2 years 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.
- ☆12Oct 9, 2023Updated 2 years ago
- Unofficial implementations of block/layer-wise pruning methods for LLMs.☆78Apr 29, 2024Updated last year
- [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆98Nov 25, 2024Updated last year
- [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers☆192Feb 28, 2023Updated 3 years ago
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,325Mar 6, 2025Updated last year
- Code for "ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models" (ICLR 2024)☆20Feb 16, 2024Updated 2 years ago
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,720Jun 25, 2024Updated last year