Alternatives and similar repositories for CATS:

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

• SqueezeAILab / SqueezedAttention
  SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference
  ☆46Updated 5 months ago
• DerrickYLJ / TidalDecode
  [ICLR 2025] TidalDecode: A Fast and Accurate LLM Decoding with Position Persistent Sparse Attention
  ☆35Updated 2 weeks ago
• hahnyuan / ASVD4LLM
  Activation-aware Singular Value Decomposition for Compressing Large Language Models
  ☆66Updated 6 months ago
• yxli2123 / LoSparse
  ☆51Updated last year
• aiha-lab / MX-QLLM
  LLM Inference with Microscaling Format
  ☆22Updated 5 months ago
• Infini-AI-Lab / Sirius
  Sirius, an efficient correction mechanism, which significantly boosts Contextual Sparsity models on reasoning tasks while maintaining its…
  ☆21Updated 7 months ago
• Qualcomm-AI-research / gptvq
  ☆29Updated last year
• fmfi-compbio / admm-pruning
  ☆27Updated 9 months ago
• machilusZ / FastGen
  This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
  ☆36Updated 8 months ago
• zhangsichengsjtu / AFPQ
  AFPQ code implementation
  ☆20Updated last year
• luuyin / OWL
  Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"
  ☆65Updated 10 months ago
• andy-yang-1 / DoubleSparse
  16-fold memory access reduction with nearly no loss
  ☆91Updated last month
• UNITES-Lab / moe-quantization
  Official code for the paper "Examining Post-Training Quantization for Mixture-of-Experts: A Benchmark"
  ☆15Updated 10 months ago
• zyxxmu / cam
  Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference
  ☆37Updated 10 months ago
• wimh966 / outlier_suppression
  The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…
  ☆47Updated 2 years ago
• Qualcomm-AI-research / lr-qat
  ☆36Updated 6 months ago
• Aaronhuang-778 / SliM-LLM
  [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
  ☆29Updated 8 months ago
• thu-ml / Jetfire-INT8Training
  ☆40Updated 9 months ago
• HuangOwen / RoLoRA
  [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization
  ☆36Updated 7 months ago
• FasterDecoding / TEAL
  ☆126Updated 2 months ago
• hdong920 / LESS
  ☆49Updated 11 months ago
• ClubieDong / QAQ-KVCacheQuantization
  QAQ: Quality Adaptive Quantization for LLM KV Cache
  ☆49Updated last year
• hdong920 / GRIFFIN
  ☆36Updated 8 months ago
• shadowpa0327 / Palu
  [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection
  ☆103Updated 2 months ago
• xvyaward / owq
  Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…
  ☆60Updated last year
• ChenMnZ / PrefixQuant
  An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization
  ☆129Updated 3 months ago
• Equationliu / Kangaroo
  [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…
  ☆54Updated 10 months ago
• Intelligent-Computing-Lab-Yale / GPTQv2
  Code implementation of GPTQv2 (https://arxiv.org/abs/2504.02692)
  ☆36Updated 2 weeks ago
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆161Updated 9 months ago
• naver-aics / lut-gemm
  ☆55Updated last year