Alternatives and similar repositories for shadow_llm

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

• aiha-lab / MX-QLLM
  LLM Inference with Microscaling Format
  ☆23Updated 6 months ago
• snu-comparch / Tender
  Tender: Accelerating Large Language Models via Tensor Decompostion and Runtime Requantization (ISCA'24)
  ☆16Updated 11 months ago
• cornell-zhang / llm-datatypes
  Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
  ☆26Updated 11 months ago
• parsa-epfl / quantization-sparsity-interplay
  This repo contains the code for studying the interplay between quantization and sparsity methods
  ☆19Updated 3 months ago
• DerrickYLJ / TidalDecode
  [ICLR 2025] TidalDecode: A Fast and Accurate LLM Decoding with Position Persistent Sparse Attention
  ☆39Updated last month
• xvyaward / owq
  Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…
  ☆62Updated last year
• mit-han-lab / spatten
  [HPCA'21] SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning
  ☆93Updated 9 months ago
• PingchengDong / GQA-LUT
  The official implementation of the DAC 2024 paper GQA-LUT
  ☆18Updated 5 months ago
• VITA-Group / Q-Hitter
  ☆14Updated last year
• thu-ml / Jetfire-INT8Training
  ☆49Updated 10 months ago
• SqueezeAILab / SqueezedAttention
  SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference
  ☆46Updated 6 months ago
• GATECH-EIC / ShiftAddLLM
  ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization
  ☆108Updated 7 months ago
• PKU-SEC-Lab / AdapMoE
  Code release for AdapMoE accepted by ICCAD 2024
  ☆26Updated last month
• 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
• Infini-AI-Lab / Sirius
  Sirius, an efficient correction mechanism, which significantly boosts Contextual Sparsity models on reasoning tasks while maintaining its…
  ☆21Updated 8 months ago
• kssteven418 / SqueezeLLM-gradients
  ☆20Updated last year
• ScalingIntelligence / CATS
  ☆25Updated 6 months ago
• IntelLabs / Hardware-Aware-Automated-Machine-Learning
  ☆57Updated last month
• abdelfattah-lab / BitMoD-HPCA-25
  ☆41Updated 5 months ago
• sIncerass / QBERT
  ☆15Updated 2 years ago
• naver-aics / lut-gemm
  ☆59Updated last year
• ChengZhang-98 / llm-mixed-q
  Official implementation of EMNLP'23 paper "Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference?"
  ☆22Updated last year
• Intelligent-Computing-Lab-Yale / TesseraQ
  ☆21Updated 7 months ago
• Aaronhuang-778 / SliM-LLM
  [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
  ☆31Updated 9 months ago
• Adaxry / Unified_Layer_Skipping
  ☆13Updated last year
• clevercool / ANT-Quantization
  ☆98Updated last year
• jeffreyyu0602 / quantized-training
  ☆27Updated this week
• SeoLabCornell / torch2chip
  Torch2Chip (MLSys, 2024)
  ☆51Updated 2 months ago
• BrotherHappy / OSTQuant
  [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…
  ☆57Updated last month
• SNU-ARC / any-precision-llm
  [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs
  ☆107Updated last month