Alternatives and similar repositories for MMBench

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

• GATECH-EIC / ShiftAddViT
  [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
  ☆31Updated last year
• AboveParadise / LLMCBench
  ☆24Updated 9 months ago
• CASIA-IVA-Lab / FLAP
  [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models
  ☆59Updated last year
• MAC-AutoML / ITPruner
  ☆25Updated 3 years ago
• yxli2123 / LoSparse
  ☆59Updated last year
• ylsung / ECoFLaP
  Code for "ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models" (ICLR 2024)
  ☆20Updated last year
• parsa-epfl / quantization-sparsity-interplay
  This repo contains the code for studying the interplay between quantization and sparsity methods
  ☆22Updated 6 months ago
• UbiquitousLearning / Paper-list-resource-efficient-large-language-model
  ☆100Updated 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
• htqin / BiBench
  [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…
  ☆56Updated last year
• BaiTheBest / SparseLLM
  Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)
  ☆64Updated 5 months ago
• zyxxmu / cam
  Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference
  ☆42Updated last year
• falcon-xu / early-exit-papers
  A curated list of early exiting (LLM, CV, NLP, etc)
  ☆58Updated last year
• ModelTC / QLLM
  [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…
  ☆39Updated last year
• VITA-Group / Q-Hitter
  ☆15Updated last year
• A-suozhang / Papers-of-NAS
  Personal Digest of NAS (Under Construction 🛠)
  ☆25Updated 4 years ago
• UbiquitousLearning / Efficient_Foundation_Model_Survey
  Survey Paper List - Efficient LLM and Foundation Models
  ☆255Updated 11 months ago
• iamkanghyunchoi / ait
  It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]
  ☆29Updated 2 years ago
• tiingweii-shii / Awesome-Resource-Efficient-LLM-Papers
  a curated list of high-quality papers on resource-efficient LLMs 🌱
  ☆134Updated 5 months ago
• thu-nics / qllm-eval
  Code Repository of Evaluating Quantized Large Language Models
  ☆130Updated 11 months ago
• decemberzhou / TF_TAS
  ☆37Updated 3 years ago
• jmluu / Awesome-Efficient-Training
  A collection of research papers on efficient training of DNNs
  ☆69Updated 3 years ago
• Hao840 / Awesome-Low-Precision-Training
  A collection of research papers on low-precision training methods
  ☆33Updated 3 months ago
• zysxmu / FDDA
  Pytorch implementation of our paper accepted by ECCV 2022-- Fine-grained Data Distribution Alignment for Post-Training Quantization
  ☆15Updated 2 years ago
• SqueezeAILab / SqueezedAttention
  SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference
  ☆52Updated 9 months ago
• imagination-research / EEP
  Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs
  ☆18Updated 8 months ago
• IntelLabs / Hardware-Aware-Automated-Machine-Learning
  ☆66Updated last month
• HuangOwen / RoLoRA
  [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization
  ☆37Updated 11 months ago
• han-shi / SparseBERT
  ☆13Updated 2 years ago
• GATECH-EIC / Edge-LLM
  [DAC 2024] EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive La…
  ☆65Updated last year