Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)
☆71Mar 27, 2025Updated last year
Alternatives and similar repositories for SparseLLM
Users that are interested in SparseLLM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICLR 2025] Official implementation of paper "Dynamic Low-Rank Sparse Adaptation for Large Language Models".☆25Mar 16, 2025Updated last year
- ☆30Jul 22, 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
- Github Repo for OATS: Outlier-Aware Pruning through Sparse and Low Rank Decomposition☆21Apr 16, 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
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- [EMNLP 2024] Official implementation of "Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimiza…☆29Feb 21, 2025Updated last year
- Unofficial implementations of block/layer-wise pruning methods for LLMs.☆78Apr 29, 2024Updated 2 years ago
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆900Aug 20, 2024Updated 2 years ago
- ☆23Nov 26, 2025Updated 10 months ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆77Jan 6, 2024Updated 2 years ago
- DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling☆39Jul 12, 2024Updated 2 years ago
- ☆23Nov 26, 2024Updated last year
- This repo contains the code for studying the interplay between quantization and sparsity methods☆26Feb 26, 2025Updated last year
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆49Jun 4, 2024Updated 2 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.
- [ICML 2024] Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks☆44Feb 4, 2025Updated last year
- ☆35May 24, 2024Updated 2 years ago
- ☆61Jun 10, 2024Updated 2 years ago
- A simple and effective LLM pruning approach.☆880Aug 9, 2024Updated 2 years ago
- ☆44Jun 14, 2026Updated 3 months ago
- For releasing code related to compression methods for transformers, accompanying our publications☆462Sep 10, 2026Updated last month
- Official implementation for LaCo (EMNLP 2024 Findings)☆22Oct 3, 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…☆1,140Oct 7, 2024Updated 2 years ago
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆96Apr 8, 2025Updated last year
- 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.
- An implementation of the DISP-LLM method from the NeurIPS 2024 paper: Dimension-Independent Structural Pruning for Large Language Models.☆25Aug 6, 2025Updated last year
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆238Jan 11, 2025Updated last year
- The open-source materials for paper "Sparsing Law: Towards Large Language Models with Greater Activation Sparsity".☆32Nov 12, 2024Updated last year
- [NeurIPS 24 Spotlight] MaskLLM: Learnable Semi-structured Sparsity for Large Language Models☆191Jan 1, 2025Updated last year
- ☆64Oct 17, 2023Updated 2 years ago
- A block pruning framework for LLMs.☆28May 17, 2025Updated last year
- Awesome list for LLM pruning.☆296Oct 11, 2025Updated 11 months ago
- ☆15Sep 24, 2023Updated 3 years ago
- Implementation of "Decoding-time Realignment of Language Models", ICML 2024.☆21Jun 17, 2024Updated 2 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.
- Pruning the VLLMs☆106Dec 9, 2024Updated last year
- Official implementation of the ICLR paper "Streamlining Redundant Layers to Compress Large Language Models"☆45May 1, 2025Updated last year
- [ICLR 2025] TidalDecode: A Fast and Accurate LLM Decoding with Position Persistent Sparse Attention☆57Aug 6, 2025Updated last year
- Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation, ICML 2024☆25Jun 26, 2024Updated 2 years ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆52Oct 21, 2023Updated 2 years ago
- ☆42Mar 28, 2024Updated 2 years ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆101Sep 4, 2024Updated 2 years ago