dropbox / gemliteLinks
Fast low-bit matmul kernels in Triton
☆427Updated this week
Alternatives and similar repositories for gemlite
Users that are interested in gemlite are comparing it to the libraries listed below
Sorting:
- Applied AI experiments and examples for PyTorch☆315Updated 5 months ago
- Cataloging released Triton kernels.☆292Updated 4 months ago
- ☆286Updated this week
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆324Updated this week
- Collection of kernels written in Triton language☆178Updated last week
- Accelerating MoE with IO and Tile-aware Optimizations☆569Updated 2 weeks ago
- A Quirky Assortment of CuTe Kernels☆781Updated this week
- extensible collectives library in triton☆95Updated 10 months ago
- Fast Hadamard transform in CUDA, with a PyTorch interface☆281Updated 3 months ago
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆249Updated 9 months ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆276Updated 6 months ago
- a minimal cache manager for PagedAttention, on top of llama3.☆135Updated last year
- This repository contains the experimental PyTorch native float8 training UX☆227Updated last year
- kernels, of the mega variety☆665Updated last week
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆219Updated this week
- ☆259Updated last year
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆335Updated last year
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆165Updated 2 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆142Updated 8 months ago
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆751Updated 6 months ago
- ☆104Updated last year
- ☆159Updated last year
- Triton-based implementation of Sparse Mixture of Experts.☆263Updated 4 months ago
- Fastest kernels written from scratch☆532Updated 4 months ago
- ring-attention experiments☆165Updated last year
- Boosting 4-bit inference kernels with 2:4 Sparsity☆93Updated last year
- A safetensors extension to efficiently store sparse quantized tensors on disk☆238Updated this week
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆739Updated this week
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆127Updated last year
- A bunch of kernels that might make stuff slower 😉☆75Updated this week