Alternatives and similar repositories for Edge-LLM

Users that are interested in Edge-LLM are comparing it to the libraries listed below

• PKU-SEC-Lab / AdapMoE
  Code release for AdapMoE accepted by ICCAD 2024
  ☆35Updated 8 months ago
• parsa-epfl / quantization-sparsity-interplay
  This repo contains the code for studying the interplay between quantization and sparsity methods
  ☆25Updated 10 months ago
• clevercool / ANT-Quantization
  ☆113Updated 2 years ago
• jeffreyyu0602 / quantized-training
  ☆33Updated 2 weeks ago
• snu-comparch / Tender
  Tender: Accelerating Large Language Models via Tensor Decompostion and Runtime Requantization (ISCA'24)
  ☆24Updated last year
• mit-han-lab / spatten
  [HPCA'21] SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning
  ☆119Updated last year
• thu-nics / qllm-eval
  Code Repository of Evaluating Quantized Large Language Models
  ☆136Updated last year
• 1hunters / LIMPQ
  Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"
  ☆61Updated 2 years ago
• DD-DuDa / awesome-vit-quantization-acceleration
  List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.
  ☆98Updated last year
• SNU-ARC / any-precision-llm
  [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs
  ☆123Updated 6 months ago
• PingchengDong / GQA-LUT
  The official implementation of the DAC 2024 paper GQA-LUT
  ☆20Updated last year
• zhexinli / Q-ViT-DeiT
  DeiT implementation for Q-ViT
  ☆25Updated 8 months ago
• aiha-lab / MX-QLLM
  LLM Inference with Microscaling Format
  ☆34Updated last year
• yifu-ding / BGEMM-CUDA
  This is a repository of Binary General Matrix Multiply (BGEMM) by customized CUDA kernel. Thank FP6-LLM for the wheels!
  ☆18Updated last year
• Qualcomm-AI-research / pruning-vs-quantization
  ☆25Updated last year
• IntelLabs / Hardware-Aware-Automated-Machine-Learning
  ☆74Updated 3 weeks 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
• GATECH-EIC / ViTCoD
  [HPCA 2023] ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design
  ☆125Updated 2 years ago
• AboveParadise / LLMCBench
  ☆26Updated last year
• GATECH-EIC / ViTALiTy
  ViTALiTy (HPCA'23) Code Repository
  ☆23Updated 2 years ago
• naver-aics / lut-gemm
  ☆82Updated last year
• 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
• goliaro / specinfer-ae
  ☆26Updated last year
• 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
• imagination-research / EEP
  Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs
  ☆22Updated 2 months ago
• sharc-lab / Edge-MoE
  Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-level Sparsity via Mixture-of-Experts
  ☆132Updated last year
• PrincetonUniversity / LLMCompass
  ☆217Updated 2 months ago
• GATECH-EIC / mg-verilog
  ☆52Updated last year
• zhuhanqing / Lightening-Transformer-AE
  Artifact evaluation for HPCA'24 paper Lightening-Transformer: A Dynamically-operated Optically-interconnected Photonic Transformer Accele…
  ☆10Updated last year
• CLab-HKUST-GZ / micro58-axcore
  ☆29Updated 2 months ago