metacarbon / shareAtt
Beyond KV Caching: Shared Attention for Efficient LLMs
☆14Updated 7 months ago
Alternatives and similar repositories for shareAtt:
Users that are interested in shareAtt are comparing it to the libraries listed below
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆32Updated 8 months ago
- [ACL 2024] RelayAttention for Efficient Large Language Model Serving with Long System Prompts☆38Updated 11 months ago
- This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs☆33Updated 6 months ago
- SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference☆40Updated 3 months ago
- ☆36Updated 5 months ago
- [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models☆28Updated 8 months ago
- Efficient Mixture of Experts for LLM Paper List☆36Updated 2 months ago
- BESA is a differentiable weight pruning technique for large language models.☆14Updated 11 months ago
- ☆37Updated 4 months ago
- ☆14Updated 2 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆56Updated 4 months ago
- An unofficial implementation of "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆35Updated 8 months ago
- Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆78Updated 2 months ago
- ☆14Updated last year
- SCOPE: Optimizing KV Cache Compression in Long-context Generation☆23Updated 2 months ago
- ☆16Updated last month
- Official code for the paper "Attention as a Hypernetwork"☆24Updated 7 months ago
- Pytorch code for paper QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models☆25Updated last year
- Official implementation of the ICML 2024 paper RoSA (Robust Adaptation)☆38Updated last year
- ☆49Updated last year
- Official code for the paper "Examining Post-Training Quantization for Mixture-of-Experts: A Benchmark"☆10Updated 7 months ago
- The open-source materials for paper "Sparsing Law: Towards Large Language Models with Greater Activation Sparsity".☆18Updated 3 months ago
- [ICLR 2025] TidalDecode: A Fast and Accurate LLM Decoding with Position Persistent Sparse Attention☆27Updated this week
- [ICLR 2024] Jaiswal, A., Gan, Z., Du, X., Zhang, B., Wang, Z., & Yang, Y. Compressing llms: The truth is rarely pure and never simple.☆20Updated 11 months ago
- ☆41Updated last week
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆51Updated last week
- ☆22Updated 7 months ago