FlashAttention

A fast and memory-efficient implementation of the accurate attention mechanism

CommonProductProgrammingDeep LearningTransformer

FlashAttention is an open-source attention mechanism library designed specifically for Transformer models in deep learning to enhance computational efficiency and memory usage. It optimizes attention calculation using IO-aware methods, reducing memory consumption while maintaining precise computational results. FlashAttention-2 further improves parallelism and workload distribution, while FlashAttention-3 is optimized for Hopper GPUs, supporting FP16 and BF16 data types.

Supports multiple GPU architectures
including Ampere
Ada
and Hopper.
Provides support for data types fp16 and bf16
optimized for specific GPU architectures.
Implements scalable head dimensions
supporting up to 256.
Supports both causal and non-causal attention
adapting to different model requirements.

The target audience is primarily deep learning researchers and developers
especially those who need to optimize computing resources and memory usage when working with large language models. FlashAttention achieves this by reducing memory footprint and improving computational efficiency
allowing the training and deployment of large models even on limited hardware resources.

Accelerate BERT model training in natural language processing tasks using FlashAttention.
Reduce the memory footprint of GPT models in large-scale text generation tasks using FlashAttention.
Improve model runtime efficiency in machine translation or speech recognition projects through FlashAttention.

1. Ensure your system has CUDA 11.6 or higher and PyTorch 1.12 or higher installed.
2. Clone the FlashAttention code repository to your local environment.
3. Enter the hopper directory and install FlashAttention using python setup.py install.
4. Set the PYTHONPATH environment variable to point to the installation path.
5. Run tests by executing pytest -q -s test_flash_attn.py to verify successful installation.

Visit

FlashAttention Visit Over Time

Monthly Visits

515580771

Bounce Rate

37.20%

Page per Visit

5.8

Visit Duration

00:06:42

FlashAttention Visit Trend

FlashAttention Visit Geography

FlashAttention Traffic Sources

FlashAttention Alternatives

Moonglow — Easily run local notebooks on remote GPUs

Programming•Jupyter Notebooks•GPU Acceleration

Unsloth — Rapidly train and fine-tune large language models (LLMs).

InternationalSelection•AI Training•GPU Acceleration

402

LLM Transparency Tool — Analyzes the inner workings of Transformer-based language models.

Programming•Language Model•Transformer

282

Megatron-LM — Continuous research on training Transformer models at scale.

Productivity•Transformer•Language Model

156

Google Vision Transformer — An image recognition model based on the Transformer architecture

Image•Artificial Intelligence•Image Recognition

330

face_anon_simple — Facial anonymization technology that retains key details while effectively protecting privacy.

Image•Facial Anonymization•Privacy Protection

Watermark Anything — Image watermarking technology that can embed localized watermark information within images.

Image•Image Watermarking•Copyright Protection

AdvancedLivePortrait-WebUI — Real-time portrait animation web interface based on Gradio.

Image•Gradio•Portrait Animation

126

FLUX.1-dev LoRA Outfit Generator — An AI model that generates clothing images based on text descriptions.

Image•Image Generation•Fashion Design

414

NVIDIA Video Search and Summarization — Build a video search and summarization agent to extract insights from videos.

Video•Video Analysis•Artificial Intelligence

156

MobileLLM-1B — A sub-billion parameter language model developed by Meta, suitable for device-side applications.

Programming•Language Model•Transformer

MobileLLM-600M — An efficient and optimized 600M parameter language model designed for device applications.

Programming•Language Model•Transformer

Fish Speech — A voice synthesis tool that offers high-quality speech generation services.

Others•Voice Synthesis•Deep Learning

708

MobileLLM-350M — An efficiently optimized language model with sub-billion parameters, specifically designed for device-side applications.

Programming•Language Model•Transformer

MotionCLR — Attention Mechanism-Based Motion Generation and Untrained Editing Model

Productivity•Action Generation•Attention Mechanism

ManiSkill — An open-source robotic simulation platform designed for generating unlimited robot data and generalizing AI.

InternationalSelection•Robotic Learning•Simulation Platform

Oasis — Real-time open-world AI model based on Transformer architecture.

Video•Transformer•Real-Time Interaction

324

DreamClear — High-capacity real-world image repair and privacy-safe data management.

Image•Image Repair•Super-Resolution

126

Flux.1 Lite — An 8B parameter variational autoencoder model designed for efficient text-to-image generation.

Image•Text-to-image•AI generation

120

Ultralight-Digital-Human — Super lightweight digital human model for real-time operation on mobile devices.

Image•Digital Human•Artificial Intelligence

294

IC-Light V2 — The IC-Light model based on Flux focuses on detail preservation and stylization in image processing.

Image•Image Generation•Deep Learning

216

MaskGCT TTS Demo — Text-to-speech demonstration based on the MaskGCT model.

Others•Text-to-Speech•Deep Learning

582

sd3.5 — Lightweight inference model for generating high-quality images

Image•Image Generation•Machine Learning

222

Stable Diffusion 3.5 — Powerful image generation model

InternationalSelection•Image Generation•Machine Learning

522

DocLayout-YOLO — Enhancing document layout analysis through diverse synthetic data and global-to-local adaptive perception.

Image•Document Layout Analysis•Deep Learning

Best AI Websites & Tools

FlashAttention

FlashAttention Visit Over Time

FlashAttention Visit Trend

FlashAttention Visit Geography

FlashAttention Traffic Sources

FlashAttention Alternatives

Moonglow — Easily run local notebooks on remote GPUs

Unsloth — Rapidly train and fine-tune large language models (LLMs).

LLM Transparency Tool — Analyzes the inner workings of Transformer-based language models.

Megatron-LM — Continuous research on training Transformer models at scale.

Google Vision Transformer — An image recognition model based on the Transformer architecture

Workers AI — Run machine learning models on Cloudflare's global network.

WhisperNER — Unified open-source named entity and speech recognition model

LLaMA-Mesh — Unified 3D Mesh Generation with Language Models

Kalavai — AI cloud platform serving everyone

face_anon_simple — Facial anonymization technology that retains key details while effectively protecting privacy.

Watermark Anything — Image watermarking technology that can embed localized watermark information within images.

AdvancedLivePortrait-WebUI — Real-time portrait animation web interface based on Gradio.

FLUX.1-dev LoRA Outfit Generator — An AI model that generates clothing images based on text descriptions.

NVIDIA Video Search and Summarization — Build a video search and summarization agent to extract insights from videos.

MobileLLM-1B — A sub-billion parameter language model developed by Meta, suitable for device-side applications.

MobileLLM-600M — An efficient and optimized 600M parameter language model designed for device applications.

Fish Speech — A voice synthesis tool that offers high-quality speech generation services.

MobileLLM-350M — An efficiently optimized language model with sub-billion parameters, specifically designed for device-side applications.

MotionCLR — Attention Mechanism-Based Motion Generation and Untrained Editing Model

ManiSkill — An open-source robotic simulation platform designed for generating unlimited robot data and generalizing AI.

Oasis — Real-time open-world AI model based on Transformer architecture.

DreamClear — High-capacity real-world image repair and privacy-safe data management.

Flux.1 Lite — An 8B parameter variational autoencoder model designed for efficient text-to-image generation.

Ultralight-Digital-Human — Super lightweight digital human model for real-time operation on mobile devices.

IC-Light V2 — The IC-Light model based on Flux focuses on detail preservation and stylization in image processing.

MaskGCT TTS Demo — Text-to-speech demonstration based on the MaskGCT model.

sd3.5 — Lightweight inference model for generating high-quality images

Stable Diffusion 3.5 — Powerful image generation model

DocLayout-YOLO — Enhancing document layout analysis through diverse synthetic data and global-to-local adaptive perception.