jundaf2 / INT8-Flash-Attention-FMHA-QuantizationLinks
☆160Updated 2 years ago
Alternatives and similar repositories for INT8-Flash-Attention-FMHA-Quantization
Users that are interested in INT8-Flash-Attention-FMHA-Quantization are comparing it to the libraries listed below
Sorting:
- ☆115Updated last year
- This repository contains the experimental PyTorch native float8 training UX☆227Updated last year
- PyTorch bindings for CUTLASS grouped GEMM.☆141Updated 8 months ago
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆127Updated last year
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆276Updated 6 months ago
- This repository contains integer operators on GPUs for PyTorch.☆236Updated 2 years ago
- ☆157Updated 2 years ago
- ☆84Updated last year
- pytorch-profiler☆50Updated 2 years ago
- Applied AI experiments and examples for PyTorch☆315Updated 5 months ago
- Reorder-based post-training quantization for large language model☆198Updated 2 years ago
- Fast Hadamard transform in CUDA, with a PyTorch interface☆279Updated 3 months ago
- llama INT4 cuda inference with AWQ☆55Updated last year
- A collection of memory efficient attention operators implemented in the Triton language.☆287Updated last year
- The official implementation of the EMNLP 2023 paper LLM-FP4☆220Updated 2 years ago
- Benchmark code for the "Online normalizer calculation for softmax" paper☆105Updated 7 years ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆335Updated last year
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆219Updated last week
- Triton-based implementation of Sparse Mixture of Experts.☆263Updated 4 months ago
- ☆170Updated 2 years ago
- extensible collectives library in triton☆93Updated 10 months ago
- A Python library transfers PyTorch tensors between CPU and NVMe☆125Updated last year
- ☆258Updated last year
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆119Updated last year
- Odysseus: Playground of LLM Sequence Parallelism☆79Updated last year
- ☆71Updated 10 months ago
- Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training☆222Updated last year
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆319Updated last week
- Fast low-bit matmul kernels in Triton☆424Updated this week
- GPTQ inference Triton kernel☆322Updated 2 years ago