Alternatives and similar repositories for llm-datatypes

Users that are interested in llm-datatypes are comparing it to the libraries listed below

• SeoLabCornell / torch2chip
  Torch2Chip (MLSys, 2024)
  ☆53Updated 5 months ago
• ucb-bar / dosa
  DOSA: Differentiable Model-Based One-Loop Search for DNN Accelerators
  ☆17Updated 11 months ago
• snu-comparch / Tender
  Tender: Accelerating Large Language Models via Tensor Decompostion and Runtime Requantization (ISCA'24)
  ☆20Updated last year
• VITA-Group / Q-Hitter
  ☆15Updated last year
• PingchengDong / GQA-LUT
  The official implementation of the DAC 2024 paper GQA-LUT
  ☆20Updated 8 months ago
• mit-han-lab / spatten
  [HPCA'21] SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning
  ☆102Updated last year
• sIncerass / QBERT
  ☆15Updated 2 years ago
• clevercool / ANT-Quantization
  ☆108Updated last year
• SNU-ARC / any-precision-llm
  [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs
  ☆115Updated 2 months ago
• aiha-lab / MX-QLLM
  LLM Inference with Microscaling Format
  ☆31Updated 10 months ago
• naver-aics / lut-gemm
  ☆70Updated last year
• AIS-SNU / Smart-Infinity
  [HPCA'24] Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System
  ☆49Updated last month
• upmem / upmem_llm_framework
  UPMEM LLM Framework allows profiling PyTorch layers and functions and simulate those layers/functions with a given hardware profile.
  ☆34Updated last month
• parsa-epfl / quantization-sparsity-interplay
  This repo contains the code for studying the interplay between quantization and sparsity methods
  ☆23Updated 6 months ago
• jeffreyyu0602 / quantized-training
  ☆31Updated 2 weeks 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
• GATECH-EIC / ViTCoD
  [HPCA 2023] ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design
  ☆116Updated 2 years ago
• UCLA-VAST / Serpens
  Serpens is an HBM FPGA accelerator for SpMV
  ☆21Updated last year
• isakedo / DNNsim
  ☆35Updated 5 years ago
• xxyux / SpInfer
  SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs
  ☆57Updated 5 months ago
• leesou / PIM-DL-ASPLOS
  PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization
  ☆33Updated last year
• ranggihwang / Pregated_MoE
  ☆52Updated last year
• PrincetonUniversity / LLMCompass
  ☆185Updated last year
• GATECH-EIC / mg-verilog
  ☆47Updated 11 months ago
• abdelfattah-lab / BitMoD-HPCA-25
  ☆52Updated last month
• Zhen-Dong / BitPack
  BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.
  ☆57Updated 2 years 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
• 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
• leesou / H2-LLM-ISCA-2025
  H2-LLM: Hardware-Dataflow Co-Exploration for Heterogeneous Hybrid-Bonding-based Low-Batch LLM Inference
  ☆59Updated 4 months ago
• uwsampl / sparsetir-artifact
  Repository for artifact evaluation of ASPLOS 2023 paper "SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning"
  ☆26Updated 2 years ago