microsoft / BitBLASLinks
BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.
☆709Updated 3 months ago
Alternatives and similar repositories for BitBLAS
Users that are interested in BitBLAS are comparing it to the libraries listed below
Sorting:
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆778Updated 8 months ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆272Updated 4 months ago
- Fast low-bit matmul kernels in Triton☆395Updated 3 weeks ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆449Updated 11 months ago
- A Quirky Assortment of CuTe Kernels☆653Updated 2 weeks ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆946Updated last year
- A collection of memory efficient attention operators implemented in the Triton language.☆284Updated last year
- Fast Hadamard transform in CUDA, with a PyTorch interface☆257Updated 3 weeks ago
- A Easy-to-understand TensorOp Matmul Tutorial☆393Updated last month
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆327Updated last year
- This repository contains integer operators on GPUs for PyTorch.☆222Updated 2 years ago
- Dynamic Memory Management for Serving LLMs without PagedAttention☆434Updated 5 months ago
- ☆243Updated last year
- PyTorch emulation library for Microscaling (MX)-compatible data formats☆315Updated 4 months ago
- Applied AI experiments and examples for PyTorch☆303Updated 2 months ago
- FlagGems is an operator library for large language models implemented in the Triton Language.☆757Updated this week
- Fastest kernels written from scratch☆391Updated last month
- Distributed Compiler based on Triton for Parallel Systems☆1,233Updated this week
- Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruct…☆495Updated last year
- Shared Middle-Layer for Triton Compilation☆306Updated 2 weeks ago
- kernels, of the mega variety☆599Updated last month
- Perplexity GPU Kernels☆528Updated last week
- Cataloging released Triton kernels.☆265Updated 2 months ago
- ☆247Updated this week
- ☆346Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆390Updated last year
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆282Updated this week
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆223Updated 2 years ago
- Fast and memory-efficient exact attention☆198Updated 3 weeks ago
- flash attention tutorial written in python, triton, cuda, cutlass☆448Updated 6 months ago