Dao-AILab / fast-hadamard-transformLinks
Fast Hadamard transform in CUDA, with a PyTorch interface
☆213Updated last year
Alternatives and similar repositories for fast-hadamard-transform
Users that are interested in fast-hadamard-transform are comparing it to the libraries listed below
Sorting:
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆260Updated 3 weeks ago
- PyTorch bindings for CUTLASS grouped GEMM.☆106Updated 2 months ago
- Fast low-bit matmul kernels in Triton☆338Updated last week
- This repository contains integer operators on GPUs for PyTorch.☆208Updated last year
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆57Updated 3 weeks ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆318Updated last year
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆413Updated 8 months ago
- ☆79Updated 6 months ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆193Updated this week
- ☆51Updated last year
- Applied AI experiments and examples for PyTorch☆289Updated 2 months ago
- Collection of kernels written in Triton language☆142Updated 4 months ago
- ☆227Updated last year
- Cataloging released Triton kernels.☆247Updated 6 months ago
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆113Updated last year
- ☆107Updated 11 months ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆312Updated 6 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆145Updated 2 months ago
- ☆150Updated last year
- A collection of memory efficient attention operators implemented in the Triton language.☆275Updated last year
- [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection☆128Updated 5 months ago
- This repository contains the experimental PyTorch native float8 training UX☆224Updated last year
- ☆85Updated 8 months ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆151Updated 2 weeks ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆216Updated last year
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆306Updated 5 months ago
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆137Updated 3 months ago
- ☆158Updated last year
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆654Updated 3 weeks ago
- ☆227Updated last week