Lucky-Lance / Expert_Sparsity
[ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models
☆86Updated 10 months ago
Alternatives and similar repositories for Expert_Sparsity:
Users that are interested in Expert_Sparsity are comparing it to the libraries listed below
- [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆77Updated 9 months ago
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆63Updated 11 months ago
- Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆80Updated 4 months ago
- The official implementation of the paper "Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques (TMLR)".☆64Updated 2 weeks ago
- This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs☆35Updated 7 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆59Updated 5 months ago
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆35Updated 9 months ago
- ☆36Updated 7 months ago
- An unofficial implementation of "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆34Updated 9 months ago
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆154Updated 9 months ago
- Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks☆35Updated last month
- ☆72Updated last week
- The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>☆122Updated 3 months ago
- ☆122Updated last month
- ☆50Updated last year
- ☆37Updated 5 months ago
- ☆76Updated 2 months ago
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆52Updated last month
- Code accompanying the paper "Massive Activations in Large Language Models"☆150Updated last year
- XAttention: Block Sparse Attention with Antidiagonal Scoring☆118Updated this week
- ☆19Updated 2 weeks ago
- Implementation of the paper: "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆86Updated 3 weeks ago
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆45Updated 11 months ago
- ☆47Updated 3 months ago
- TokenSkip: Controllable Chain-of-Thought Compression in LLMs☆103Updated 2 weeks ago
- ☆17Updated 4 months ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆158Updated 8 months ago
- EE-LLM is a framework for large-scale training and inference of early-exit (EE) large language models (LLMs).☆56Updated 9 months ago
- The official implementation of paper: SimLayerKV: A Simple Framework for Layer-Level KV Cache Reduction.☆44Updated 5 months ago
- ☆8Updated 6 months ago