dongwonjo / FastKVLinks
Official Implementation of FastKV: Decoupling of Context Reduction and KV Cache Compression for Prefill-Decoding Acceleration
☆29Updated last month
Alternatives and similar repositories for FastKV
Users that are interested in FastKV are comparing it to the libraries listed below
Sorting:
- [EMNLP 2024] Quantize LLM to extremely low-bit, and finetune the quantized LLMs☆15Updated last year
- ☆11Updated last year
- ☆15Updated last year
- ☆24Updated last year
- [ICML 2024] SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models☆21Updated last year
- [NeurIPS 2025] Official implementation of "Reasoning Path Compression: Compressing Generation Trajectories for Efficient LLM Reasoning"☆28Updated 3 months ago
- (ACL 2025 oral) SCOPE: Optimizing KV Cache Compression in Long-context Generation☆34Updated 7 months ago
- [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆98Updated last year
- Beyond KV Caching: Shared Attention for Efficient LLMs☆20Updated last year
- [ICML 2024] Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks☆38Updated 11 months ago
- [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models☆35Updated last year
- ☆62Updated 6 months ago
- Pytorch implementation of "Oscillation-Reduced MXFP4 Training for Vision Transformers" on DeiT Model Pre-training☆34Updated 7 months ago
- [ACL 2025] Squeezed Attention: Accelerating Long Prompt LLM Inference☆55Updated last year
- Code for "RSQ: Learning from Important Tokens Leads to Better Quantized LLMs"☆20Updated 7 months ago
- This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs☆44Updated last year
- ☆29Updated 7 months ago
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆67Updated last year
- [ICLR‘24 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆103Updated 7 months ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆38Updated last year
- [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>☆153Updated last week
- The official implementation of paper: SimLayerKV: A Simple Framework for Layer-Level KV Cache Reduction.☆52Updated last year
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆84Updated last year
- [NeurIPS'25] The official code implementation for paper "R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Tok…☆72Updated this week
- The official implementation of the paper "Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques (TMLR)".☆88Updated 10 months ago
- Source code of paper ''KVSharer: Efficient Inference via Layer-Wise Dissimilar KV Cache Sharing''☆31Updated last year
- D^2-MoE: Delta Decompression for MoE-based LLMs Compression☆72Updated 9 months ago
- AdaSplash: Adaptive Sparse Flash Attention (aka Flash Entmax Attention)☆32Updated 3 months ago
- ☆19Updated last year
- An unofficial implementation of "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆36Updated last year