mobiusml / gemliteLinks
Fast low-bit matmul kernels in Triton
☆338Updated 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☆289Updated 2 months ago
- Cataloging released Triton kernels.☆246Updated 6 months ago
- ☆227Updated this week
- A Quirky Assortment of CuTe Kernels☆374Updated this week
- Collection of kernels written in Triton language☆139Updated 3 months ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆260Updated 2 weeks ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆193Updated this week
- This repository contains the experimental PyTorch native float8 training UX☆224Updated last year
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆203Updated 2 months ago
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆206Updated this week
- Fast Hadamard transform in CUDA, with a PyTorch interface☆213Updated last year
- Fastest kernels written from scratch☆308Updated 4 months ago
- kernels, of the mega variety☆461Updated 2 months ago
- extensible collectives library in triton☆88Updated 4 months ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆318Updated last year
- ring-attention experiments☆145Updated 9 months ago
- ☆227Updated last year
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆654Updated 3 weeks ago
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆113Updated last year
- ☆85Updated 8 months ago
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆200Updated this week
- Perplexity GPU Kernels☆413Updated 2 weeks ago
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆118Updated last year
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆410Updated 8 months ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆730Updated 4 months ago
- a minimal cache manager for PagedAttention, on top of llama3.☆98Updated 11 months ago
- A safetensors extension to efficiently store sparse quantized tensors on disk☆141Updated this week
- Triton-based implementation of Sparse Mixture of Experts.☆230Updated 8 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆106Updated 2 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆362Updated 11 months ago