Alternatives and similar repositories for GACT-ICML

Users that are interested in GACT-ICML are comparing it to the libraries listed below

• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆220Updated 2 years ago
• microsoft / SparTA
  ☆153Updated last year
• IST-DASLab / OBC
  Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".
  ☆129Updated 2 years ago
• zhuohan123 / terapipe
  ☆75Updated 4 years ago
• AlibabaResearch / flash-llm
  Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
  ☆221Updated 2 years ago
• stanford-futuredata / stk
  ☆112Updated last year
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆320Updated last year
• thu-nics / qllm-eval
  Code Repository of Evaluating Quantized Large Language Models
  ☆133Updated last year
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆125Updated 4 months ago
• luuyin / OWL
  Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"
  ☆72Updated 3 months ago
• mit-han-lab / Quest
  [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference
  ☆338Updated 3 months ago
• d-matrix-ai / keyformer-llm
  ☆59Updated last year
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆253Updated last week
• thu-ml / Jetfire-INT8Training
  ☆58Updated last year
• zhengzangw / Sequence-Scheduling
  PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".
  ☆92Updated 2 years ago
• andy-yang-1 / DoubleSparse
  16-fold memory access reduction with nearly no loss
  ☆105Updated 7 months ago
• naver-aics / lut-gemm
  ☆76Updated last year
• FMInference / DejaVu
  ☆343Updated last year
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆169Updated last year
• SNU-ARC / any-precision-llm
  [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs
  ☆118Updated 3 months ago
• RulinShao / LightSeq
  Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training
  ☆216Updated last year
• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆158Updated 2 years ago
• haochengxi / Train_Transformers_with_INT4
  ☆156Updated 2 years ago
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆266Updated 3 months ago
• wimh966 / outlier_suppression
  The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…
  ☆48Updated 3 years ago
• thu-pacman / FasterMoE
  ☆87Updated 3 years ago
• jy-yuan / KIVI
  [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
  ☆329Updated last month
• WoosukKwon / retraining-free-pruning
  [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers
  ☆192Updated 2 years ago
• IntelLabs / FP8-Emulation-Toolkit
  PyTorch extension for emulating FP8 data formats on standard FP32 Xeon/GPU hardware.
  ☆111Updated 10 months ago
• Zhen-Dong / BitPack
  BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.
  ☆58Updated 2 years ago