ThisisBillhe / ZipCache
[NeurIPS 2024] The official implementation of ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification
☆17Updated 6 months ago
Alternatives and similar repositories for ZipCache:
Users that are interested in ZipCache are comparing it to the libraries listed below
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆140Updated 4 months ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆35Updated 11 months ago
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆29Updated last month
- An algorithm for static activation quantization of LLMs☆115Updated 2 weeks ago
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆34Updated 8 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆55Updated last week
- PyTorch code for Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆37Updated 5 months ago
- [ICLR 2025] Mixture Compressor for Mixture-of-Experts LLMs Gains More☆34Updated last week
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆21Updated 10 months ago
- This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality"☆45Updated last month
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆60Updated 10 months ago
- SKVQ: Sliding-window Key and Value Cache Quantization for Large Language Models☆15Updated 4 months ago
- ☆144Updated last month
- Accelerating Diffusion Transformers with Token-wise Feature Caching☆62Updated 2 weeks ago
- The official code implementation of paper "Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models"☆27Updated this week
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆51Updated last week
- ☆68Updated this week
- [EMNLP 2024 Findings🔥] Official implementation of "LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Infe…☆91Updated 3 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆56Updated 3 months ago
- ☆18Updated 3 months ago
- Code release for VTW (AAAI 2025) Oral☆32Updated last month
- [ICLR 2025] Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models☆70Updated last week
- SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆26Updated 6 months ago
- 16-fold memory access reduction with nearly no loss☆76Updated 3 months ago
- Efficient 2:4 sparse training algorithms and implementations☆49Updated 2 months ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆31Updated 4 months ago
- A sparse attention kernel supporting mix sparse patterns☆133Updated last week
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆96Updated last month
- [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
- ☆13Updated last week