Alternatives and similar repositories for ZipCache

Users that are interested in ZipCache are comparing it to the libraries listed below

• Hsu1023 / DuQuant
  [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.
  ☆178Updated last year
• Aaronhuang-778 / Mixture-Compressor-MoE
  [ICLR 2025] Mixture Compressor for Mixture-of-Experts LLMs Gains More
  ☆65Updated 11 months ago
• thu-nics / MBQ
  The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"
  ☆74Updated 10 months ago
• mit-han-lab / x-attention
  [ICML 2025] XAttention: Block Sparse Attention with Antidiagonal Scoring
  ☆263Updated 6 months ago
• FFY0 / AdaKV
  The Official Implementation of Ada-KV [NeurIPS 2025]
  ☆123Updated last month
• z-lab / sparselora
  [ICML 2025] SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity
  ☆68Updated 6 months ago
• maomaocun / dLLM-cache
  Official PyTorch implementation of the paper "dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching" (dLLM-Cache…
  ☆193Updated 2 months ago
• attention-survey / Efficient_Attention_Survey
  A Survey of Efficient Attention Methods: Hardware-efficient, Sparse, Compact, and Linear Attention
  ☆271Updated last month
• lliai / D2MoE
  D^2-MoE: Delta Decompression for MoE-based LLMs Compression
  ☆72Updated 9 months ago
• zyxxmu / cam
  Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference
  ☆47Updated last year
• mit-han-lab / flash-moba
  ☆216Updated last month
• thu-nics / R2R
  [NeurIPS'25] The official code implementation for paper "R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Tok…
  ☆72Updated this week
• thu-nics / MoA
  [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>
  ☆153Updated this week
• thu-nics / ViDiT-Q
  [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
  ☆146Updated 9 months ago
• pprp / Awesome-Efficient-MoE
  Efficient Mixture of Experts for LLM Paper List
  ☆154Updated 3 months ago
• Juanerx / Q-DiT
  [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
  ☆73Updated last year
• ByteDance-Seed / FlexPrefill
  Code for paper: [ICLR2025 Oral] FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference
  ☆160Updated 3 months ago
• machilusZ / FastGen
  This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
  ☆43Updated last year
• andy-yang-1 / DoubleSparse
  16-fold memory access reduction with nearly no loss
  ☆109Updated 9 months ago
• thu-nics / DiTFastAttn
  ☆189Updated last year
• LINs-lab / DynMoE
  [ICLR 2025] Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
  ☆153Updated 6 months ago
• HuangOwen / RoLoRA
  [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization
  ☆38Updated last year
• microsoft / SeerAttention
  SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs
  ☆184Updated 3 months ago
• ruikangliu / Quantized-Reasoning-Models
  [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"
  ☆65Updated 6 months ago
• ZHITENGLI / ARB-LLM
  [ICLR'25] ARB-LLM: Alternating Refined Binarizations for Large Language Models
  ☆28Updated 5 months ago
• ROIM1998 / APT
  [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
  ☆46Updated last year
• wangqinsi1 / Dobi-SVD
  Official code implementation for 2025 ICLR accepted paper "Dobi-SVD : Differentiable SVD for LLM Compression and Some New Perspectives"
  ☆50Updated 2 months ago
• JieShibo / MoLE
  [ICML 2025 Oral] Mixture of Lookup Experts
  ☆63Updated last month
• Aaronhuang-778 / SliM-LLM
  [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
  ☆47Updated last year
• ModelTC / QLLM
  [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…
  ☆39Updated last year