Alternatives and similar repositories for LLM-Quantization

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

• DD-DuDa / TensorRT-in-Action
  TensorRT-in-Action 是一个 GitHub 代码库，提供了使用 TensorRT 的代码示例，并有对应 Jupyter Notebook。
  ☆15Updated 2 years ago
• harleyszhang / lite_llama
  A light llama-like llm inference framework based on the triton kernel.
  ☆171Updated last month
• zjhellofss / triton_course
  ☆40Updated 8 months ago
• Tlntin / trt2023
  ☆26Updated 2 years ago
• caibucai22 / awesome-cuda
  Awesome code, projects, books, etc. related to CUDA
  ☆30Updated last week
• luliyucoordinate / flash-attention-minimal
  Flash Attention in ~100 lines of CUDA (forward pass only)
  ☆11Updated last year
• iclementine / optimize_softmax
  Optimize softmax in triton in many cases
  ☆22Updated last year
• caiwanxianhust / FasterLLaMA
  使用 CUDA C++ 实现的 llama 模型推理框架
  ☆64Updated last year
• RussWong / LLM-engineering
  ☆26Updated 6 months ago
• ruikangliu / FlatQuant
  [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"
  ☆208Updated 2 months ago
• harleyszhang / llm_counts
  llm theoretical performance analysis tools and support params, flops, memory and latency analysis.
  ☆115Updated 6 months ago
• OpenPPL / ppl.pmx
  ☆60Updated last year
• BrotherHappy / OSTQuant
  [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…
  ☆88Updated 10 months ago
• ppppppppig / lite_lang
  一个轻量化的大模型推理框架
  ☆21Updated 8 months ago
• OpenPPL / ppl.nn.llm
  ☆141Updated last year
• Ranking666 / Base-quantization
  base quantization methods including: QAT, PTQ, per_channel, per_tensor, dorefa, lsq, adaround, omse, Histogram, bias_correction.etc
  ☆51Updated 3 years ago
• AyakaGEMM / Hands-on-GEMM
  ☆145Updated last year
• BestAnHongjun / LMDeploy-Jetson
  Deploying LLMs offline on the NVIDIA Jetson platform marks the dawn of a new era in embodied intelligence, where devices can function ind…
  ☆108Updated last year
• HandH1998 / QQQ
  QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.
  ☆154Updated 5 months ago
• doongz / mlc-ai
  机器学习编译 陈天奇
  ☆53Updated 3 years ago
• CalvinXKY / BasicCUDA
  A tutorial for CUDA&PyTorch
  ☆253Updated last week
• weishengying / cutlass_flash_atten_fp8
  使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention
  ☆78Updated last year
• wangzhaode / llm-export
  llm-export can export llm model to onnx.
  ☆343Updated 3 months ago
• hyperai / triton-cn
  Triton Documentation in Chinese Simplified / Triton 中文文档
  ☆102Updated last month
• luchangli03 / onnxsim_large_model
  simplify >2GB large onnx model
  ☆71Updated last year
• zeroine / cutlass-cute-sample
  ☆49Updated last year
• Pegessi / conv2d_direct
  ☆36Updated 2 years ago
• caijixueIT / CUDA_Learning_for_Freshman
  ☆14Updated 3 months ago
• YuxueYang1204 / CudaDemo
  Implement custom operators in PyTorch with cuda/c++
  ☆76Updated 3 years ago
• pzhao-eng / FlashMLA
  ☆61Updated 6 months ago