lucidrains / flash-attention-jaxLinks
Implementation of Flash Attention in Jax
☆213Updated 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:
- jax-triton contains integrations between JAX and OpenAI Triton☆405Updated 2 weeks ago
- Implementation of a Transformer, but completely in Triton☆270Updated 3 years ago
- ☆186Updated last month
- Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways - in Jax (Equinox framework)☆187Updated 3 years ago
- JAX implementation of the Llama 2 model☆219Updated last year
- JAX Synergistic Memory Inspector☆175Updated 11 months ago
- JMP is a Mixed Precision library for JAX.☆206Updated 5 months ago
- LoRA for arbitrary JAX models and functions☆140Updated last year
- A simple library for scaling up JAX programs☆139Updated 8 months ago
- A library for unit scaling in PyTorch☆125Updated 7 months ago
- ☆356Updated last year
- Accelerated First Order Parallel Associative Scan☆182Updated 10 months ago
- ☆61Updated 3 years ago
- JAX-Toolbox☆320Updated this week
- Experiment of using Tangent to autodiff triton☆79Updated last year
- ☆112Updated last year
- Memory Efficient Attention (O(sqrt(n)) for Jax and PyTorch☆184Updated 2 years ago
- ☆320Updated 2 weeks ago
- Train very large language models in Jax.☆205Updated last year
- Inference code for LLaMA models in JAX☆118Updated last year
- Implementation of fused cosine similarity attention in the same style as Flash Attention☆214Updated 2 years ago
- JAX bindings for Flash Attention v2☆90Updated 11 months ago
- A stand-alone implementation of several NumPy dtype extensions used in machine learning.☆280Updated this week
- ☆79Updated last year
- Unofficial JAX implementations of deep learning research papers☆156Updated 3 years ago
- seqax = sequence modeling + JAX☆163Updated 3 weeks ago
- This repository contains the experimental PyTorch native float8 training UX☆224Updated 11 months ago
- Swarm training framework using Haiku + JAX + Ray for layer parallel transformer language models on unreliable, heterogeneous nodes☆239Updated 2 years ago
- Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimenta…☆513Updated this week
- For optimization algorithm research and development.☆521Updated this week