Alternatives and similar repositories for LookupFFN:

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

• yxli2123 / LoSparse
  ☆49Updated last year
• wimh966 / outlier_suppression
  The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…
  ☆48Updated 2 years ago
• papers-submission / structured_transposable_masks
  Code for ICML 2021 submission
  ☆35Updated 3 years ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated last year
• WeixiangXu / STTN
  ☆17Updated 2 years ago
• AboveParadise / LLMCBench
  ☆19Updated 2 months ago
• zyxxmu / LBC
  Pytorch implementation of our paper accepted by NeurIPS 2022 -- Learning Best Combination for Efficient N:M Sparsity
  ☆15Updated 2 years ago
• iamkanghyunchoi / qimera
  Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]
  ☆30Updated 3 years ago
• IST-DASLab / spdy
  Code for ICML 2022 paper "SPDY: Accurate Pruning with Speedup Guarantees"
  ☆18Updated last year
• htqin / DSG
  This project is the official implementation of our accepted IEEE TPAMI paper Diverse Sample Generation: Pushing the Limit of Data-free Qu…
  ☆13Updated last year
• fmfi-compbio / admm-pruning
  ☆22Updated 6 months ago
• ModelTC / Outlier_Suppression_Plus
  Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…
  ☆47Updated last year
• lightmatter-ai / INT-FP-QSim
  Flexible simulator for mixed precision and format simulation of LLMs and vision transformers.
  ☆47Updated last year
• mobiusml / low-rank-llama2
  Low-Rank Llama Custom Training
  ☆21Updated 10 months ago
• BradMcDanel / sdgp
  ☆10Updated 3 years ago
• GATECH-EIC / Double-Win-Quant
  [ICML 2021] "Double-Win Quant: Aggressively Winning Robustness of Quantized DeepNeural Networks via Random Precision Training and Inferen…
  ☆13Updated 3 years ago
• huqinghao / PalQuant
  ☆12Updated 2 years ago
• jmluu / Awesome-Efficient-Training
  A collection of research papers on efficient training of DNNs
  ☆69Updated 2 years ago
• facebookresearch / Ternary_Binary_Transformer
  ACL 2023
  ☆38Updated last year
• ScalingIntelligence / CATS
  ☆23Updated 3 months ago
• liuzechun / Data-Free-NAS
  Data-Free Neural Architecture Search via Recursive Label Calibration. ECCV 2022.
  ☆32Updated 2 years ago
• peiswang / BitSplit
  BitSplit Post-trining Quantization
  ☆48Updated 3 years ago
• HuangOwen / QAT-ACS
  [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"
  ☆30Updated 5 months ago
• HuangOwen / RoLoRA
  [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization
  ☆31Updated 4 months ago
• cjf00000 / StatQuant
  code for the paper "A Statistical Framework for Low-bitwidth Training of Deep Neural Networks"
  ☆27Updated 4 years ago
• kimihe / Octo
  Create tiny ML systems for on-device learning.
  ☆20Updated 3 years ago
• yaozhewei / MLPruning
  MLPruning, PyTorch, NLP, BERT, Structured Pruning
  ☆21Updated 3 years ago
• luuyin / OWL
  Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"
  ☆57Updated 7 months ago
• ruikangliu / IntactKV
  Official PyTorch implementation of IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact
  ☆40Updated 8 months ago
• imagination-research / EEP
  Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs
  ☆15Updated 2 months ago