hahnyuan / ASVD4LLM
Activation-aware Singular Value Decomposition for Compressing Large Language Models
☆59Updated 5 months ago
Alternatives and similar repositories for ASVD4LLM:
Users that are interested in ASVD4LLM are comparing it to the libraries listed below
- ☆50Updated last year
- This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs☆34Updated 7 months ago
- ☆118Updated last month
- [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
- ☆36Updated 4 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆121Updated last month
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆59Updated 8 months ago
- [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models☆85Updated 10 months ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆157Updated 8 months ago
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆35Updated 9 months ago
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆52Updated last month
- XAttention: Block Sparse Attention with Antidiagonal Scoring☆102Updated 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.☆22Updated last year
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆33Updated 6 months ago
- Code for paper: [ICLR2025 Oral] FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference☆62Updated this week
- [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆74Updated 9 months ago
- SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆28Updated 7 months ago
- An unofficial implementation of "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆34Updated 9 months ago
- ☆24Updated 4 months ago
- QAQ: Quality Adaptive Quantization for LLM KV Cache☆47Updated 11 months ago
- [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…☆51Updated 9 months ago
- 16-fold memory access reduction with nearly no loss☆81Updated last week
- The official implementation of the paper "Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques (TMLR)".☆61Updated last week
- [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection☆89Updated last month
- Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks☆35Updated last month
- ☆36Updated 6 months ago
- ☆49Updated 10 months ago
- The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>☆121Updated 3 months ago
- SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference☆45Updated 4 months ago