Alternatives and similar repositories for quantization-notes

Users that are interested in quantization-notes are comparing it to the libraries listed below

• hkproj / triton-flash-attention
  ☆199Updated 8 months ago
• 1y33 / 100Days
  GPU Kernels
  ☆193Updated 4 months ago
• a-hamdi / GPU
  100 days of building GPU kernels!
  ☆494Updated 4 months ago
• evintunador / triton_docs_tutorials
  making the official triton tutorials actually comprehensible
  ☆54Updated 3 weeks ago
• hkproj / pytorch-llama
  LLaMA 2 implemented from scratch in PyTorch
  ☆350Updated last year
• hkproj / pytorch-lora
  LORA: Low-Rank Adaptation of Large Language Models implemented using PyTorch
  ☆116Updated 2 years ago
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆405Updated 6 months ago
• mlops-discord / gpu-optimization-workshop
  Slides, notes, and materials for the workshop
  ☆331Updated last year
• gpu-mode / profiling-cuda-in-torch
  ☆168Updated last year
• rasbt / dora-from-scratch
  LoRA and DoRA from Scratch Implementations
  ☆211Updated last year
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆193Updated 3 months ago
• hkproj / pytorch-transformer-distributed
  Distributed training (multi-node) of a Transformer model
  ☆83Updated last year
• ThinamXx / Meta-llama
  Complete implementation of Llama2 with/without KV cache & inference 🚀
  ☆48Updated last year
• hkproj / multi-latent-attention
  ☆44Updated 3 months ago
• tintn / vision-transformer-from-scratch
  A Simplified PyTorch Implementation of Vision Transformer (ViT)
  ☆205Updated last year
• aryagxr / cuda
  coding CUDA everyday!
  ☆61Updated 4 months ago
• wolfecameron / nanoMoE
  An extension of the nanoGPT repository for training small MOE models.
  ☆185Updated 6 months ago
• hkproj / 100-days-of-gpu
  ☆366Updated 5 months ago
• lucasdelimanogueira / PyNorch
  Recreating PyTorch from scratch (C/C++, CUDA, NCCL and Python, with multi-GPU support and automatic differentiation!)
  ☆158Updated last year
• melisa-writer / short-transformers
  Prune transformer layers
  ☆69Updated last year
• facebookresearch / LayerSkip
  Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
  ☆334Updated 4 months ago
• AviSoori1x / seemore
  From scratch implementation of a vision language model in pure PyTorch
  ☆239Updated last year
• LambdaLabsML / distributed-training-guide
  Best practices & guides on how to write distributed pytorch training code
  ☆475Updated 6 months ago
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆219Updated 4 months ago
• huggingface / picotron_tutorial
  ☆216Updated 7 months ago
• hkproj / transformer-from-scratch-notes
  Notes about "Attention is all you need" video (https://www.youtube.com/watch?v=bCz4OMemCcA)
  ☆308Updated 2 years ago
• NVlabs / Minitron
  A family of compressed models obtained via pruning and knowledge distillation
  ☆351Updated 10 months ago
• thevasudevgupta / gpt-triton
  Triton implementation of GPT/LLAMA
  ☆19Updated last year
• tspeterkim / mixed-precision-from-scratch
  Mixed precision training from scratch with Tensors and CUDA
  ☆26Updated last year
• rasbt / pytorch-memory-optim
  This code repository contains the code used for my "Optimizing Memory Usage for Training LLMs and Vision Transformers in PyTorch" blog po…
  ☆92Updated 2 years ago