Dao-AILab / fast-hadamard-transformLinks
Fast Hadamard transform in CUDA, with a PyTorch interface
☆261Updated last month
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).☆272Updated 4 months ago
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆143Updated 3 weeks ago
- PyTorch bindings for CUTLASS grouped GEMM.☆132Updated 6 months ago
- This repository contains integer operators on GPUs for PyTorch.☆223Updated 2 years ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆461Updated last year
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆331Updated last year
- Fast low-bit matmul kernels in Triton☆401Updated 2 weeks ago
- ☆83Updated 10 months ago
- ☆60Updated last year
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆195Updated last week
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆123Updated last year
- Applied AI experiments and examples for PyTorch☆308Updated 3 months ago
- Cataloging released Triton kernels.☆274Updated 2 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆168Updated last week
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆297Updated this week
- Collection of kernels written in Triton language☆172Updated 8 months ago
- [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection☆148Updated 9 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆224Updated 2 years ago
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆720Updated 3 months ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆335Updated 2 weeks ago
- ☆246Updated last year
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆148Updated 3 months ago
- ☆161Updated last year
- ☆256Updated last week
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆84Updated 7 months ago
- ☆94Updated last year
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆356Updated 4 months ago
- ☆80Updated last year
- A collection of memory efficient attention operators implemented in the Triton language.☆285Updated last year
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆352Updated 9 months ago