lucidrains / flash-attention-jaxLinks
Implementation of Flash Attention in Jax
☆223Updated last year
Alternatives and similar repositories for flash-attention-jax
Users that are interested in flash-attention-jax are comparing it to the libraries listed below
Sorting:
- ☆191Updated 3 weeks ago
- jax-triton contains integrations between JAX and OpenAI Triton☆436Updated last month
- Implementation of a Transformer, but completely in Triton☆278Updated 3 years ago
- JAX Synergistic Memory Inspector☆183Updated last year
- JMP is a Mixed Precision library for JAX.☆210Updated 11 months ago
- Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways - in Jax (Equinox framework)☆189Updated 3 years ago
- JAX implementation of the Llama 2 model☆215Updated last year
- LoRA for arbitrary JAX models and functions☆143Updated last year
- ☆366Updated last year
- Train very large language models in Jax.☆210Updated 2 years ago
- JAX-Toolbox☆373Updated this week
- A library for unit scaling in PyTorch☆133Updated 6 months ago
- ☆63Updated 3 years ago
- ☆341Updated last week
- Accelerated First Order Parallel Associative Scan☆192Updated this week
- Experiment of using Tangent to autodiff triton☆81Updated last year
- Inference code for LLaMA models in JAX☆120Updated last year
- A simple library for scaling up JAX programs☆144Updated 2 months ago
- Memory Efficient Attention (O(sqrt(n)) for Jax and PyTorch☆184Updated 3 years ago
- JAX bindings for Flash Attention v2☆102Updated 2 weeks ago
- ☆92Updated last year
- This repository contains the experimental PyTorch native float8 training UX☆227Updated last year
- This is a port of Mistral-7B model in JAX☆32Updated last year
- Machine Learning eXperiment Utilities☆46Updated 5 months ago
- Unofficial JAX implementations of deep learning research papers☆160Updated 3 years ago
- ☆124Updated last year
- Minimal yet performant LLM examples in pure JAX☆226Updated last week
- ☆178Updated last year
- ☆233Updated 11 months ago
- Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.☆46Updated last year