Alternatives and similar repositories for ZipCache

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

• Aaronhuang-778 / Mixture-Compressor-MoE
  [ICLR 2025] Mixture Compressor for Mixture-of-Experts LLMs Gains More
  ☆54Updated 7 months ago
• maomaocun / dLLM-cache
  Official PyTorch implementation of the paper "dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching" (dLLM-Cache…
  ☆157Updated 3 weeks ago
• Hsu1023 / DuQuant
  [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.
  ☆171Updated last year
• mit-han-lab / x-attention
  [ICML 2025] XAttention: Block Sparse Attention with Antidiagonal Scoring
  ☆234Updated 3 months ago
• thu-nics / MBQ
  The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"
  ☆59Updated 6 months ago
• Juanerx / Q-DiT
  [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
  ☆66Updated last year
• thu-nics / ViDiT-Q
  [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
  ☆123Updated 6 months ago
• mit-han-lab / Block-Sparse-Attention
  A sparse attention kernel supporting mix sparse patterns
  ☆311Updated 7 months ago
• attention-survey / Efficient_Attention_Survey
  A Survey of Efficient Attention Methods: Hardware-efficient, Sparse, Compact, and Linear Attention
  ☆187Updated last month
• thu-nics / DiTFastAttn
  ☆179Updated 8 months ago
• z-lab / sparselora
  [ICML 2025] SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity
  ☆57Updated 3 months ago
• thu-nics / MoA
  [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>
  ☆146Updated 2 months ago
• ThisisBillhe / ZipAR
  [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…
  ☆54Updated 6 months ago
• ByteDance-Seed / FlexPrefill
  Code for paper: [ICLR2025 Oral] FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference
  ☆142Updated 4 months ago
• lliai / D2MoE
  D^2-MoE: Delta Decompression for MoE-based LLMs Compression
  ☆67Updated 6 months ago
• ModelTC / TFMQ-DM
  [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…
  ☆104Updated last week
• A-suozhang / ViDiT-Q
  ☆14Updated 6 months ago
• horseee / dKV-Cache
  [NeurIPS'25] dKV-Cache: The Cache for Diffusion Language Models
  ☆103Updated 4 months ago
• mdy666 / Qwen-Native-Sparse-Attention
  qwen-nsa
  ☆76Updated 5 months ago
• thu-nics / R2R
  [NeurIPS'25] The official code implementation for paper "R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Tok…
  ☆50Updated this week
• NVlabs / Fast-dLLM
  Official implementation of "Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding"
  ☆496Updated this week
• zyxxmu / cam
  Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference
  ☆46Updated last year
• ruikangliu / Quantized-Reasoning-Models
  [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"
  ☆54Updated 3 months ago
• JieShibo / MoLE
  [ICML 2025 Oral] Mixture of Lookup Experts
  ☆51Updated 4 months ago
• pprp / Awesome-Efficient-MoE
  Efficient Mixture of Experts for LLM Paper List
  ☆131Updated last week
• NVlabs / COAT
  [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training
  ☆241Updated last month
• ChangyuanWang17 / QVLM
  [NeurIPS'24]Efficient and accurate memory saving method towards W4A4 large multi-modal models.
  ☆83Updated 9 months ago
• FFY0 / AdaKV
  The Official Implementation of Ada-KV [NeurIPS 2025]
  ☆105Updated last week
• LINs-lab / DynMoE
  [ICLR 2025] Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
  ☆136Updated 2 months ago
• htqin / IR-QLoRA
  [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…
  ☆67Updated last year