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 Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆67Updated 8 months ago
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆46Updated last year
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆65Updated last year
- A block pruning framework for LLMs.☆27Updated 7 months ago
- Official implementation for LaCo (EMNLP 2024 Findings)☆21Updated 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
- [ICLR 2025] Official implementation of paper "Dynamic Low-Rank Sparse Adaptation for Large Language Models".☆23Updated 9 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆82Updated last year
- [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models☆113Updated last year
- D^2-MoE: Delta Decompression for MoE-based LLMs Compression☆72Updated 9 months ago
- [ICML 2024] Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks☆38Updated 10 months ago
- LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification☆69Updated 5 months ago
- CoT-Valve: Length-Compressible Chain-of-Thought Tuning☆88Updated 10 months ago
- Implementation of "Decoding-time Realignment of Language Models", ICML 2024.☆21Updated last year
- This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs☆43Updated 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
- LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning☆36Updated last year
- ☆39Updated last year
- ☆49Updated last year
- dParallel: Learnable Parallel Decoding for dLLMs☆50Updated 2 months ago
- [ICLR 2025] SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration☆61Updated 10 months ago
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆47Updated last year
- Unofficial implementations of block/layer-wise pruning methods for LLMs.☆74Updated last year
- ☆62Updated 2 years ago
- Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"☆107Updated 2 months ago
- [ICLR‘24 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆102Updated 6 months ago
- ☆61Updated last year
- [ICML 2024] SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models☆21Updated last year
- [EMNLP 2025] TokenSkip: Controllable Chain-of-Thought Compression in LLMs☆197Updated 3 weeks ago
- ☆45Updated 2 months ago