liyunqianggyn / Awesome-LLMs-PruningLinks
Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.
☆111Updated last week
Alternatives and similar repositories for Awesome-LLMs-Pruning
Users that are interested in Awesome-LLMs-Pruning are comparing it to the libraries listed below
Sorting:
- Awesome list for LLM pruning.☆246Updated 7 months ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆57Updated last year
- ☆49Updated last year
- ☆43Updated 9 months ago
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆64Updated 4 months ago
- Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models☆46Updated 9 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆165Updated 10 months ago
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆49Updated last year
- ☆56Updated 7 months ago
- Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**☆199Updated 5 months ago
- Awesome list for LLM quantization☆260Updated last month
- ☆20Updated 8 months ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆73Updated last month
- Unofficial implementations of block/layer-wise pruning methods for LLMs.☆72Updated last year
- Official implementation for LaCo (EMNLP 2024 Findings)☆17Updated 10 months ago
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆44Updated last year
- ☆59Updated last year
- Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)☆299Updated 3 months ago
- Official implementation of the ICLR paper "Streamlining Redundant Layers to Compress Large Language Models"☆31Updated 3 months ago
- ☆43Updated 8 months ago
- [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆89Updated last month
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆74Updated 9 months ago
- Official code implementation for 2025 ICLR accepted paper "Dobi-SVD : Differentiable SVD for LLM Compression and Some New Perspectives"☆36Updated 4 months ago
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆67Updated last year
- a curated list of high-quality papers on resource-efficient LLMs 🌱☆132Updated 4 months ago
- Code Repository of Evaluating Quantized Large Language Models☆129Updated 10 months ago
- [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models☆95Updated last year
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆42Updated last year
- Official implementation for Yuan & Liu & Zhong et al., KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark o…☆81Updated 5 months ago
- Survey Paper List - Efficient LLM and Foundation Models☆253Updated 10 months ago