Alternatives and similar repositories for open_source_projects

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

• facebookresearch / Ternary_Binary_Transformer
  ACL 2023
  ☆39Updated last year
• lightmatter-ai / INT-FP-QSim
  Flexible simulator for mixed precision and format simulation of LLMs and vision transformers.
  ☆49Updated last year
• LiqunMa / FBI-LLM
  FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation
  ☆48Updated 10 months ago
• 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
• CAS-CLab / BlockConv
  [TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA
  ☆16Updated 2 years ago
• GATECH-EIC / ShiftAddLLM
  ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization
  ☆106Updated 6 months ago
• merrymercy / Awesome-Efficient-LLM
  A curated list for Efficient Large Language Models
  ☆11Updated last year
• IST-DASLab / QIGen
  Repository for CPU Kernel Generation for LLM Inference
  ☆26Updated last year
• aiha-lab / MX-QLLM
  LLM Inference with Microscaling Format
  ☆22Updated 6 months ago
• IntelLabs / Hardware-Aware-Automated-Machine-Learning
  ☆52Updated 2 weeks ago
• GATECH-EIC / SuperTickets
  [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning
  ☆20Updated 2 years ago
• ModelTC / Outlier_Suppression_Plus
  Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…
  ☆46Updated last year
• ttambe / AdaptivFloat
  Adaptive floating-point based numerical format for resilient deep learning
  ☆14Updated 3 years ago
• Qualcomm-AI-research / pruning-vs-quantization
  ☆22Updated last year
• jmluu / Awesome-Efficient-Training
  A collection of research papers on efficient training of DNNs
  ☆70Updated 2 years ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated 2 years ago
• huqinghao / PalQuant
  ☆12Updated 2 years ago
• zhuhanqing / Lightening-Transformer-AE
  Artifact evaluation for HPCA'24 paper Lightening-Transformer: A Dynamically-operated Optically-interconnected Photonic Transformer Accele…
  ☆10Updated last year
• Qualcomm-AI-research / gptvq
  ☆29Updated last year
• HuangOwen / RoLoRA
  [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization
  ☆36Updated 7 months ago
• leimao / Nsight-Systems-Docker-Image
  Nsight Systems In Docker
  ☆20Updated last year
• PingchengDong / GQA-LUT
  The official implementation of the DAC 2024 paper GQA-LUT
  ☆17Updated 4 months ago
• GATECH-EIC / torchshiftadd
  An open-sourced PyTorch library for developing energy efficient multiplication-less models and applications.
  ☆13Updated 3 months ago
• SNU-ARC / any-precision-llm
  [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs
  ☆106Updated 3 weeks ago
• utkarsh-dmx / project-resq
  ☆11Updated last month
• ziplab / QLLM
  [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…
  ☆27Updated last year
• BBuf / tensorrt-llm-moe
  ☆28Updated 3 months ago
• HuangOwen / QAT-ACS
  [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"
  ☆31Updated 8 months ago
• graphcore-research / unit-scaling-demo
  Unit Scaling demo and experimentation code
  ☆16Updated last year
• cornell-zhang / llm-datatypes
  Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
  ☆26Updated 10 months ago