pytorch-labs / float8_experimental

Related projects ⓘ

Alternatives and complementary repositories for float8_experimental

• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆166Updated 2 weeks ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆134Updated 2 months ago
• mobiusml / gemlite
  Simple and fast low-bit matmul kernels in CUDA / Triton
  ☆143Updated this week
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆165Updated this week
• Deep-Learning-Profiling-Tools / triton-viz
  ☆152Updated this week
• HanGuo97 / flute
  Fast Matrix Multiplications for Lookup Table-Quantized LLMs
  ☆187Updated this week
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆185Updated last month
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆193Updated this week
• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆156Updated last year
• cchan / tccl
  extensible collectives library in triton
  ☆71Updated last month
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆483Updated 3 weeks ago
• ColfaxResearch / cutlass-kernels
  ☆167Updated 4 months ago
• graphcore-research / unit-scaling
  A library for unit scaling in PyTorch
  ☆105Updated last week
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆68Updated 3 weeks ago
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆111Updated 5 months ago
• stanford-futuredata / stk
  ☆88Updated 2 months ago
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆208Updated 3 weeks ago
• SqueezeBits / QUICK
  QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference
  ☆112Updated 8 months ago
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆278Updated 4 months ago
• RulinShao / LightSeq
  Official repository for LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers
  ☆195Updated 3 months ago
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆90Updated 4 months ago
• facebookresearch / SpinQuant
  Code repo for the paper "SpinQuant LLM quantization with learned rotations"
  ☆158Updated last week
• google / aqt
  ☆267Updated this week
• pytorch-labs / attention-gym
  Helpful tools and examples for working with flex-attention
  ☆469Updated 3 weeks ago
• spcl / QuaRot
  Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.
  ☆284Updated 3 months ago
• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆183Updated last year
• gpu-mode / ring-attention
  ring-attention experiments
  ☆97Updated last month
• facebookresearch / HolisticTraceAnalysis
  A library to analyze PyTorch traces.
  ☆307Updated this week
• epfml / dynamic-sparse-flash-attention
  ☆132Updated last year
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆305Updated 3 months ago