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.
  ☆204Updated last year
• zhuohan123 / terapipe
  ☆72Updated 4 years ago
• d-matrix-ai / keyformer-llm
  ☆54Updated last year
• naver-aics / lut-gemm
  ☆55Updated last year
• cjf00000 / StatQuant
  code for the paper "A Statistical Framework for Low-bitwidth Training of Deep Neural Networks"
  ☆28Updated 4 years ago
• microsoft / SparTA
  ☆144Updated 9 months ago
• andy-yang-1 / DoubleSparse
  16-fold memory access reduction with nearly no loss
  ☆93Updated 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
• Qualcomm-AI-research / gptvq
  ☆29Updated last year
• luuyin / OWL
  Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"
  ☆66Updated 10 months ago
• Zhen-Dong / BitPack
  BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.
  ☆52Updated 2 years ago
• thu-nics / qllm-eval
  Code Repository of Evaluating Quantized Large Language Models
  ☆123Updated 8 months ago
• thu-ml / Jetfire-INT8Training
  ☆42Updated 9 months ago
• thu-pacman / SmartMoE-AE
  ATC23 AE
  ☆45Updated 2 years ago
• ParCIS / Chimera
  Chimera: bidirectional pipeline parallelism for efficiently training large-scale models.
  ☆62Updated last month
• papers-submission / structured_transposable_masks
  Code for ICML 2021 submission
  ☆34Updated 4 years ago
• stanford-futuredata / stk
  ☆104Updated 8 months ago
• DachengLi1 / AMP
  (NeurIPS 2022) Automatically finding good model-parallel strategies, especially for complex models and clusters.
  ☆38Updated 2 years ago
• cli99 / flops-profiler
  pytorch-profiler
  ☆51Updated last year
• kssteven418 / SqueezeLLM-gradients
  ☆18Updated last year
• IST-DASLab / OBC
  Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".
  ☆119Updated last year
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆89Updated 2 weeks ago
• thu-pacman / FasterMoE
  ☆82Updated 3 years ago
• ClubieDong / QAQ-KVCacheQuantization
  QAQ: Quality Adaptive Quantization for LLM KV Cache
  ☆49Updated last year
• yuezhouhu / 2by4-pretrain
  Efficient 2:4 sparse training algorithms and implementations
  ☆54Updated 5 months ago
• ChenMnZ / PrefixQuant
  An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization
  ☆133Updated 3 months ago
• INT-FlashAttention2024 / INT-FlashAttention
  ☆70Updated 3 months ago
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆161Updated 10 months ago
• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆158Updated last year
• Equationliu / Kangaroo
  [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…
  ☆55Updated 10 months ago