MIRALab-USTC / LLM-AttentionPredictorLinks
The code for "AttentionPredictor: Temporal Pattern Matters for Efficient LLM Inference", Qingyue Yang, Jie Wang, Xing Li, Zhihai Wang, Chen Chen, Lei Chen, Xianzhi Yu, Wulong Liu, Jianye HAO, Mingxuan Yuan, Bin Li.
☆17Updated last month
Alternatives and similar repositories for LLM-AttentionPredictor
Users that are interested in LLM-AttentionPredictor are comparing it to the libraries listed below
Sorting:
- [ICLR 2025] Official implementation of paper "Dynamic Low-Rank Sparse Adaptation for Large Language Models".☆21Updated 5 months ago
- D^2-MoE: Delta Decompression for MoE-based LLMs Compression☆64Updated 5 months ago
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆64Updated 5 months ago
- SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference☆52Updated 9 months ago
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆44Updated last year
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆42Updated last year
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆18Updated 8 months ago
- [EMNLP 2024] Quantize LLM to extremely low-bit, and finetune the quantized LLMs☆14Updated last year
- ☆20Updated 9 months ago
- PoC for "SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning" [arXiv '25]☆49Updated last month
- ☆10Updated 11 months ago
- ☆15Updated 9 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
- Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models☆46Updated 9 months ago
- The Official Implementation of Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference☆90Updated 2 months ago
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆47Updated last month
- This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs☆39Updated last year
- ☆23Updated last month
- Source code for the paper "LongGenBench: Long-context Generation Benchmark"☆23Updated 10 months ago
- ☆26Updated 3 months ago
- Official Implementation of FastKV: KV Cache Compression for Fast Long-Context Processing with Token-Selective Propagation☆22Updated 3 months ago
- ☆26Updated last year
- [ICML 2024] SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models☆21Updated last year
- ☆45Updated 9 months ago
- Unofficial implementations of block/layer-wise pruning methods for LLMs.☆72Updated last year
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆49Updated last year
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆59Updated last year
- Official implementation for LaCo (EMNLP 2024 Findings)☆17Updated 10 months ago
- [ICLR 2025] Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models☆125Updated last month
- [ICML 2025 Oral] Mixture of Lookup Experts☆51Updated 3 months ago