BaiTheBest / SparseLLMLinks
Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)
☆61Updated 2 months ago
Alternatives and similar repositories for SparseLLM
Users that are interested in SparseLLM are comparing it to the libraries listed below
Sorting:
- ☆56Updated last year
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆51Updated last year
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆65Updated last year
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆39Updated 11 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆68Updated 7 months ago
- The Official Implementation of Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference☆76Updated 4 months ago
- SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference☆46Updated 6 months ago
- [ICLR 2024] Jaiswal, A., Gan, Z., Du, X., Zhang, B., Wang, Z., & Yang, Y. Compressing llms: The truth is rarely pure and never simple.☆24Updated last month
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆88Updated 5 months ago
- ☆22Updated 6 months ago
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆47Updated last year
- This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs☆38Updated 9 months ago
- [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…☆57Updated 11 months ago
- [ICLR 2025] The official pytorch implement of "Dynamic Low-Rank Sparse Adaptation for Large Language Models".☆19Updated 2 months ago
- D^2-MoE: Delta Decompression for MoE-based LLMs Compression☆48Updated 2 months ago
- [ICML 2024] SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models☆21Updated last year
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆39Updated last year
- ☆49Updated last year
- The official implementation of the paper "Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques (TMLR)".☆70Updated 2 months ago
- QAQ: Quality Adaptive Quantization for LLM KV Cache☆50Updated last year
- [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models☆89Updated last year
- Official code for the paper "Examining Post-Training Quantization for Mixture-of-Experts: A Benchmark"☆20Updated 11 months ago
- Unofficial implementations of block/layer-wise pruning methods for LLMs.☆69Updated last year
- Multi-Candidate Speculative Decoding☆35Updated last year
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆37Updated 8 months ago
- ☆18Updated 6 months ago
- An unofficial implementation of "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆35Updated 11 months ago
- [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆84Updated 11 months ago
- Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆82Updated 6 months ago
- Official implementation of the ICLR paper "Streamlining Redundant Layers to Compress Large Language Models"☆28Updated last month