Alternatives and similar repositories for open_source_projects

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

• GATECH-EIC / ShiftAddLLM
  ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization
  ☆111Updated 11 months ago
• 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
• lightmatter-ai / INT-FP-QSim
  Flexible simulator for mixed precision and format simulation of LLMs and vision transformers.
  ☆51Updated 2 years ago
• jmluu / Awesome-Efficient-Training
  A collection of research papers on efficient training of DNNs
  ☆69Updated 3 years ago
• aiha-lab / MX-QLLM
  LLM Inference with Microscaling Format
  ☆31Updated 10 months ago
• CAS-CLab / BlockConv
  [TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA
  ☆17Updated 3 years ago
• utkarsh-dmx / project-resq
  ☆20Updated 5 months ago
• PingchengDong / GQA-LUT
  The official implementation of the DAC 2024 paper GQA-LUT
  ☆20Updated 9 months ago
• Qualcomm-AI-research / gptvq
  ☆33Updated last year
• INT-FlashAttention2024 / INT-FlashAttention
  ☆82Updated 7 months ago
• Intelligent-Computing-Lab-Panda / TesseraQ
  ☆22Updated 10 months ago
• Qualcomm-AI-research / FP8-quantization
  ☆158Updated 2 years ago
• IST-DASLab / gemm-fp8
  High Performance FP8 GEMM Kernels for SM89 and later GPUs.
  ☆19Updated 7 months ago
• IntelLabs / Hardware-Aware-Automated-Machine-Learning
  ☆68Updated last month
• zhangsichengsjtu / AFPQ
  AFPQ code implementation
  ☆22Updated last year
• xvyaward / owq
  Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…
  ☆66Updated last year
• LiqunMa / FBI-LLM
  FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation
  ☆51Updated 3 weeks ago
• sIncerass / QBERT
  ☆15Updated 2 years ago
• facebookresearch / Ternary_Binary_Transformer
  ACL 2023
  ☆39Updated 2 years ago
• mit-han-lab / tinychat-tutorial
  ☆72Updated 10 months ago
• SeoLabCornell / torch2chip
  Torch2Chip (MLSys, 2024)
  ☆53Updated 5 months ago
• GATECH-EIC / Auto-NBA
  [ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yonga…
  ☆16Updated 3 years ago
• Zhen-Dong / BitPack
  BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.
  ☆57Updated 2 years ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated 2 years ago
• cornell-zhang / llm-datatypes
  Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
  ☆27Updated last year
• DD-DuDa / BitDistiller
  [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.
  ☆122Updated last year
• fastmachinelearning / qonnx
  QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX
  ☆159Updated last week
• IST-DASLab / FP-Quant
  ☆37Updated 2 weeks ago
• Qualcomm-AI-research / pruning-vs-quantization
  ☆24Updated last year
• 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