SempraETY / Pruning-via-MergingLinks
☆23Updated 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:
- Official implementation for LaCo (EMNLP 2024 Findings)☆20Updated last year
- A block pruning framework for LLMs.☆27Updated 6 months ago
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆46Updated last year
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆50Updated last year
- [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models☆111Updated last year
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆67Updated 8 months ago
- [ICML 2024] Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks☆37Updated 10 months ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆63Updated last year
- [ICLR 2025] Official implementation of paper "Dynamic Low-Rank Sparse Adaptation for Large Language Models".☆23Updated 8 months ago
- ☆62Updated 2 years ago
- ☆61Updated 11 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆80Updated last year
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆67Updated last year
- This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs☆42Updated last year
- LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning☆36Updated last year
- [ICML 2024] SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models☆21Updated last year
- ☆15Updated last year
- ☆53Updated last year
- [ICLR‘24 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆99Updated 5 months ago
- CoT-Valve: Length-Compressible Chain-of-Thought Tuning☆87Updated 9 months ago
- [ICML 2024] Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibrati…☆46Updated last year
- LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification☆68Updated 4 months ago
- ThinK: Thinner Key Cache by Query-Driven Pruning☆24Updated 9 months ago
- ☆39Updated last year
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆47Updated last year
- ☆26Updated last week
- [ICLR 2025] SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration☆60Updated 9 months ago
- Official Pytorch Implementation of "Outlier-weighed Layerwise Sampling for LLM Fine-tuning" by Pengxiang Li, Lu Yin, Xiaowei Gao, Shiwei …☆35Updated 6 months ago
- Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"☆28Updated last year
- D^2-MoE: Delta Decompression for MoE-based LLMs Compression☆71Updated 8 months ago