SempraETY / Pruning-via-MergingView external linksLinks
☆23Nov 26, 2024Updated last year
Alternatives and similar repositories for Pruning-via-Merging
Users that are interested in Pruning-via-Merging are comparing it to the libraries listed below
Sorting:
- ☆30Jul 22, 2024Updated last year
- [NeurIPS 2024] Search for Efficient LLMs☆16Jan 16, 2025Updated last year
- Official implementation for LaCo (EMNLP 2024 Findings)☆21Oct 3, 2024Updated last year
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆50Apr 9, 2024Updated last year
- [ICML 2024] Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks☆39Feb 4, 2025Updated last year
- [ICLR 2025] Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better☆16Feb 15, 2025Updated 11 months ago
- ☆40Nov 22, 2025Updated 2 months ago
- [ICLR 2023] 'Revisiting Pruning At Initialization Through The Lens of Ramanujan Graph" by Duc Hoang, Shiwei Liu, Radu Marculescu, Atlas W…☆14Aug 4, 2023Updated 2 years ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆69Jan 6, 2024Updated 2 years ago
- Official implementation of the ICLR paper "Streamlining Redundant Layers to Compress Large Language Models"☆39May 1, 2025Updated 9 months ago
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆67Mar 27, 2025Updated 10 months ago
- Unofficial implementations of block/layer-wise pruning methods for LLMs.☆77Apr 29, 2024Updated last year
- GRAIN: Gradient-based Intra-attention Pruning on Pre-trained Language Models☆19Jul 12, 2023Updated 2 years ago
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆46Jun 4, 2024Updated last year
- [ICLR 2025] Official implementation of paper "Dynamic Low-Rank Sparse Adaptation for Large Language Models".☆23Mar 16, 2025Updated 10 months ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆80Jul 7, 2025Updated 7 months ago
- [ICLR'25] ARB-LLM: Alternating Refined Binarizations for Large Language Models☆28Aug 5, 2025Updated 6 months ago
- A comprehensive framework for benchmarking single and multi-agent systems across a wide range of tasks—evaluating performance, accuracy, …☆35Nov 11, 2025Updated 3 months ago
- [CVPR '24] Official implementation of the paper "Multiflow: Shifting Towards Task-Agnostic Vision-Language Pruning".☆23Mar 7, 2025Updated 11 months ago
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆23Nov 11, 2025Updated 3 months ago
- ☆56Jun 10, 2024Updated last year
- AFPQ code implementation☆23Nov 6, 2023Updated 2 years ago
- Official code for the paper "Examining Post-Training Quantization for Mixture-of-Experts: A Benchmark"☆29Jun 30, 2025Updated 7 months ago
- Repo for the EMNLP'24 Paper "Dual-Space Knowledge Distillation for Large Language Models". A general white-box KD framework for both same…☆61Aug 26, 2025Updated 5 months ago
- ☆63Oct 17, 2023Updated 2 years ago
- ☆28Feb 21, 2025Updated 11 months ago
- code for ACL24 "MELoRA: Mini-Ensemble Low-Rank Adapter for Parameter-Efficient Fine-Tuning"☆33Feb 19, 2025Updated 11 months ago
- Pytorch implementation of our UniQ method, IEEE Access -- Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric …☆11Apr 7, 2021Updated 4 years ago
- This repository is the implementation of the paper Training Free Pretrained Model Merging (CVPR2024).☆32Mar 5, 2024Updated last year
- Superposition Yields Robust Neural Scaling☆54Updated this week
- [Preprint] Efficient Generative Model Training via Embedded Representation Warmup☆36Oct 15, 2025Updated 3 months ago
- The official implementation of the paper "Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques (TMLR)".☆88Mar 19, 2025Updated 10 months ago
- ☆35May 24, 2024Updated last year
- Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"☆30Mar 28, 2024Updated last year
- [ICML 2024] Official Repository for the paper "Transformers Get Stable: An End-to-End Signal Propagation Theory for Language Models"☆10Jul 19, 2024Updated last year
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆39Mar 11, 2024Updated last year
- ☆39Aug 27, 2024Updated last year
- Compressed LLMs for Efficient Text Generation [ICLR'24 Workshop]☆90Sep 13, 2024Updated last year
- LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning☆36Apr 4, 2024Updated last year