Alternatives and similar repositories for fast-car

Users that are interested in fast-car are comparing it to the libraries listed below

• shawnricecake / squant
  [ICCAD 2025] Squant
  ☆15Updated 5 months ago
• Hsu1023 / DuQuant
  [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.
  ☆178Updated last year
• thu-nics / qllm-eval
  Code Repository of Evaluating Quantized Large Language Models
  ☆137Updated last year
• parsa-epfl / quantization-sparsity-interplay
  This repo contains the code for studying the interplay between quantization and sparsity methods
  ☆24Updated 9 months ago
• WoosukKwon / retraining-free-pruning
  [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers
  ☆192Updated 2 years ago
• luuyin / OWL
  Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"
  ☆74Updated 5 months ago
• VainF / MaskLLM-4V
  Learnable Semi-structured Sparsity for Vision Transformers and Diffusion Transformers
  ☆14Updated 10 months ago
• clevercool / ANT-Quantization
  ☆113Updated 2 years ago
• Qualcomm-AI-research / outlier-free-transformers
  ☆45Updated last year
• BrotherHappy / OSTQuant
  [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…
  ☆85Updated 8 months ago
• wimh966 / outlier_suppression
  The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…
  ☆49Updated 3 years ago
• zhutmost / lsq-net
  Unofficial implementation of LSQ-Net, a neural network quantization framework
  ☆306Updated last year
• GATECH-EIC / Double-Win-Quant
  [ICML 2021] "Double-Win Quant: Aggressively Winning Robustness of Quantized DeepNeural Networks via Random Precision Training and Inferen…
  ☆16Updated 3 years ago
• AboveParadise / LLMCBench
  ☆26Updated last year
• biomedical-cybernetics / Relative-importance-and-activation-pruning
  ☆52Updated last year
• wimh966 / QDrop
  The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…
  ☆125Updated 2 months ago
• hahnyuan / PTQ4ViT
  Post-Training Quantization for Vision transformers.
  ☆234Updated 3 years ago
• naver-aics / lut-gemm
  ☆81Updated last year
• jeffreyyu0602 / quantized-training
  ☆33Updated last week
• htqin / BiBERT
  This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.
  ☆89Updated 2 years ago
• ChenMnZ / PrefixQuant
  An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization
  ☆169Updated 2 weeks ago
• adreamwu / PTQ4DiT
  PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005
  ☆42Updated last year
• PKU-SEC-Lab / AdapMoE
  Code release for AdapMoE accepted by ICCAD 2024
  ☆34Updated 7 months ago
• Efficient-ML / Awesome-Efficient-AIGC
  A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including languag…
  ☆202Updated 10 months ago
• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆223Updated 2 years ago
• stephenqz / OATS
  Github Repo for OATS: Outlier-Aware Pruning through Sparse and Low Rank Decomposition
  ☆15Updated 7 months ago
• LinkAnonymous / BESA
  ☆11Updated 2 years 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…
  ☆68Updated last year
• pprp / Awesome-LLM-Prune
  Awesome list for LLM pruning.
  ☆278Updated 2 months ago
• imagination-research / EEP
  Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs
  ☆21Updated last month